| Q58907996 | 3D Nonparametric Neural Identification |
| Q42375414 | A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big Data |
| Q58907386 | A Comparison between Fixed-Basis and Variable-Basis Schemes for Function Approximation and Functional Optimization |
| Q101071305 | A Hybrid Reduced-Order Model of Fine-Resolution Hydrologic Simulations at a Polygonal Tundra Site |
| Q58752803 | A Modeling Study by Response Surface Methodology (RSM) and Artificial Neural Network (ANN) on Nitrobenzene Hydrogenation Optimization Using Rh Nanocatalyst |
| Q58699483 | A Neural Network Nonlinear Multimodel Ensemble to Improve Precipitation Forecasts over Continental US |
| Q52107368 | A Sequential Learning Approach for Single Hidden Layer Neural Networks. |
| Q50647886 | A Single Hidden Layer Feedforward Network with Only One Neuron in the Hidden Layer Can Approximate Any Univariate Function. |
| Q36177141 | A Structure-Adaptive Hybrid RBF-BP Classifier with an Optimized Learning Strategy |
| Q39391760 | A Universal Approximation Theorem for Mixture-of-Experts Models. |
| Q57609317 | A comparison of modeling nonlinear systems with artificial neural networks and partial least squares |
| Q48836914 | A comparison of neural network and Bayes recognition approaches in the evaluation of the brainstem trigeminal evoked potentials in multiple sclerosis |
| Q57691603 | A computational intelligence-based approach for short-term traffic flow prediction |
| Q32026046 | A constrained neural network Kalman filter for price estimation in high frequency financial data. |
| Q86979870 | A critique of pure learning and what artificial neural networks can learn from animal brains |
| Q43089264 | A discrete-time recurrent neurofuzzy network for black-box modeling of insulin dynamics in diabetic type-1 patients |
| Q30783142 | A feature extraction unsupervised neural network for an environmental data set. |
| Q91241310 | A gentle introduction to deep learning in medical image processing |
| Q48021679 | A homomorphic neural network for modeling and prediction |
| Q88611741 | A machine learning approach as a surrogate of finite element analysis-based inverse method to estimate the zero-pressure geometry of human thoracic aorta |
| Q52107397 | A modified back-propagation method to avoid false local minima. |
| Q51296434 | A modified error backpropagation algorithm for complex-value neural networks. |
| Q35609862 | A multi-label learning based kernel automatic recommendation method for support vector machine |
| Q45012513 | A multilevel multimodal circuit enhances action selection in Drosophila |
| Q34544779 | A neural network model to translate brain developmental events across mammalian species |
| Q48589737 | A no-go theorem for one-layer feedforward networks |
| Q37212168 | A novel computational approach to approximate fuzzy interpolation polynomials |
| Q30637450 | A review of analytical techniques for gait data. Part 2: neural network and wavelet methods |
| Q34414842 | A spiking neural network architecture for nonlinear function approximation. |
| Q33364074 | ANN Prediction of Metabolic Syndrome: a Complex Puzzle that will be Completed |
| Q33932015 | Active data collection for efficient estimation and comparison of nonlinear neural models |
| Q39895859 | Active upper limb prosthesis based on natural movement trajectories. |
| Q58922397 | Adaptive and Resilient Flight Control System for a Small Unmanned Aerial System |
| Q52129160 | Adaptive control of mobile robots using a neural network. |
| Q58682767 | An Appraisal Model Based on a Synthetic Feature Selection Approach for Students’ Academic Achievement |
| Q52271405 | An Efficient EM-based Training Algorithm for Feedforward Neural Networks. |
| Q52193506 | An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation. |
| Q51639559 | An NN-based approach for tuning servocontrollers. |
| Q39517741 | An analysis of urban collisions using an artificial intelligence model |
| Q28756904 | An end to endless forms: epistasis, phenotype distribution bias, and nonuniform evolution |
| Q50787315 | An enhanced hypercube-based encoding for evolving the placement, density, and connectivity of neurons. |
| Q47265521 | An improved method for estimating human circadian phase derived from multichannel ambulatory monitoring and artificial neural networks |
| Q48008357 | An information theoretic approach for combining neural network process models |
| Q90552227 | An overview of deep learning in medical imaging focusing on MRI |
| Q57660518 | Analysis of on-line training with optimal learning rates |
| Q59031124 | Application of Computational Intelligence in Order to Develop Hybrid Orbit Propagation Methods |
| Q40596575 | Application of an ensemble technique based on singular spectrum analysis to daily rainfall forecasting |
| Q51667065 | Application of artificial neural networks to a study of nursing burnout. |
| Q52191701 | Application of autonomous neural network systems to medical pattern classification tasks. |
| Q92156165 | Applying Machine Learning to Improve Simulations of a Chaotic Dynamical System Using Empirical Error Correction |
| Q50304221 | Approach to predictability via anticipated synchronization. |
| Q39044927 | Approximating high-dimensional dynamics by barycentric coordinates with linear programming |
| Q44894406 | Approximation by fully complex multilayer perceptrons |
| Q58270203 | Approximation by ridge functions and neural networks with a bounded number of neurons |
| Q52074108 | Approximation of continuous and discontinuous mappings by a growing neural RBF-based algorithm. |
| Q59042460 | Architecture Analysis of an FPGA-Based Hopfield Neural Network |
| Q52224841 | Artificial neural network as a novel method to optimize pharmaceutical formulations. |
| Q45948507 | Artificial neural network for the configuration problem in solids. |
| Q51950397 | Artificial neural network modeling of apoptosis in gamma irradiated human lymphocytes. |
| Q43315446 | Artificial neural network modelling in biological removal of organic carbon and nitrogen for the treatment of slaughterhouse wastewater in a batch reactor |
| Q73186231 | Artificial neural networks as approximators of stochastic processes |
| Q52230724 | Artificial neural networks for computer-based molecular design. |
| Q34223374 | Artificial neural networks: opening the black box. |
| Q41780120 | Assessment and certification of neonatal incubator sensors through an inferential neural network |
| Q47110533 | Attribution of recent temperature behaviour reassessed by a neural-network method. |
| Q59570539 | AudioInSpace: Exploring the Creative Fusion of Generative Audio, Visuals and Gameplay |
| Q33446066 | Automated Low-Cost Smartphone-Based Lateral Flow Saliva Test Reader for Drugs-of-Abuse Detection |
| Q30851903 | Automatic classification of laser-induced breakdown spectroscopy (LIBS) data of protein biomarker solutions |
| Q51823650 | Back-propagation learning of infinite-dimensional dynamical systems. |
| Q35594279 | Benchmark for peak detection algorithms in fiber Bragg grating interrogation and a new neural network for its performance improvement. |
| Q52069229 | Best approximation by Heaviside perceptron networks. |
| Q35053003 | Beyond GLMs: a generative mixture modeling approach to neural system identification |
| Q30356765 | Biologically inspired intelligent decision making: a commentary on the use of artificial neural networks in bioinformatics |
| Q51094826 | Body fat percentage prediction using intelligent hybrid approaches. |
| Q58249230 | COMBINING A RADIAL BASIS NEURAL NETWORK WITH TIME SERIES ANALYSIS TECHNIQUES TO PREDICT MANUFACTURING PROCESS PARAMETERS |
| Q43827058 | Cascade process modeling with mechanism-based hierarchical neural networks |
| Q46226480 | Chemometrical tools in the study of the retention behavior of azole antifungals |
| Q38875949 | Climate controls over ecosystem metabolism: insights from a fifteen-year inductive artificial neural network synthesis for a subalpine forest |
| Q108768061 | Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems |
| Q52193028 | Common Optimization of Adaptive Preprocessing Units and a Neural Network during the Learning Period. Application in EEG Pattern Recognition. |
| Q43308258 | Comparing feed-forward versus neural gas as estimators: application to coke wastewater treatment |
| Q114045106 | Comparing machine learning and interpolation methods for loop-level calculations |
| Q35220232 | Comparison of classification methods for P300 brain-computer interface on disabled subjects. |
| Q59216319 | Complex-Valued Adaptive Signal Processing Using Nonlinear Functions |
| Q47838804 | Computational properties of networks of synchronous groups of spiking neurons |
| Q34066460 | Computational subunits of visual cortical neurons revealed by artificial neural networks. |
| Q51365882 | Construction of high-dimensional neural network potentials using environment-dependent atom pairs. |
| Q73186459 | Constructive function-approximation by three-layer artificial neural networks |
| Q38275528 | Contextual modulation and stimulus selectivity in extrastriate cortex |
| Q55279908 | Controlled grafting of vinylic monomers on polyolefins: a robust mathematical modeling approach. |
| Q51728551 | Converting general nonlinear programming problems into separable programming problems with feedforward neural networks. |
| Q52107375 | Cubic approximation neural network for multivariate functions. |
| Q57255187 | DANNP: an efficient artificial neural network pruning tool |
| Q102152236 | DNN-assisted statistical analysis of a model of local cortical circuits |
| Q62607591 | Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks |
| Q59790613 | Decoding arm speed during reaching |
| Q35971395 | Deep Learning for Population Genetic Inference |
| Q58934918 | Deep and Modular Neural Networks |
| Q97555581 | Deep learning for small and big data in psychiatry |
| Q59335906 | Deep learning for universal linear embeddings of nonlinear dynamics |
| Q58026879 | Deep learning in robotics: a review of recent research |
| Q62490460 | Deep neural networks in psychiatry |
| Q48008453 | Derivation of the multilayer perceptron weight constraints for direct network interpretation and knowledge discovery |
| Q59118975 | Developing a Robust Surrogate Model of Chemical Flooding Based on the Artificial Neural Network for Enhanced Oil Recovery Implications |
| Q58241489 | Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network models |
| Q57600592 | Dynamic Neural Network Based Very Short-Term Wind Speed Forecasting |
| Q46367650 | Dynamical Neural Networks that Ensure Exponential Identification Error Convergence |
| Q45967241 | EEG source localization: a neural network approach. |
| Q58247938 | EMPIRICAL AND FEED FORWARD NEURAL NETWORKS MODELS OF TAPIOCA STARCH HYDROLYSIS |
| Q51963274 | Efficient training of multilayer perceptrons using principal component analysis. |
| Q52066204 | Efficiently learning multilayer perceptrons. |
| Q52048113 | Elementary derivative tasks and neural net multiscale analysis of tasks. |
| Q46341919 | Empirical modeling of T cell activation predicts interplay of host cytokines and bacterial indole. |
| Q40758713 | Estimating probabilities of diabetes mellitus using neural networks |
| Q58906291 | Estimation of Approximating Rate for Neural Network inLwpSpaces |
| Q39022243 | Estimation of Reynolds number for flows around cylinders with lattice Boltzmann methods and artificial neural networks |
| Q40548180 | Evaluation of the ability of an artificial neural network model to assess the variation of groundwater quality in an area of blackfoot disease in Taiwan |
| Q58643435 | Evolutionary Robotics: What, Why, and Where to |
| Q52208342 | Exact solution for on-line learning in multilayer neural networks. |
| Q59119344 | Experimentation Using Short-Term Spectral Features for Secure Mobile Internet Voting Authentication |
| Q38600112 | Fast automated analysis of strong gravitational lenses with convolutional neural networks |
| Q38777403 | First Principles Neural Network Potentials for Reactive Simulations of Large Molecular and Condensed Systems |
| Q50064077 | Fourier phase based depth-resolved nanoscale nuclear architecture mapping for cancer detection |
| Q41153763 | From grid cells to place cells with realistic field sizes |
| Q21145297 | From the phenomenology to the mechanisms of consciousness: Integrated Information Theory 3.0 |
| Q52069147 | Fuzzy methods in tremor assessment, prediction, and rehabilitation. |
| Q50165895 | Gastrointestinal metabolic surgery for the treatment of diabetic patients: a multi-institutional international study |
| Q52114073 | Generalization and capacity of extensively large two-layered perceptrons. |
| Q59457464 | Generation of hourly irradiation synthetic series using the neural network multilayer perceptron |
| Q57660530 | Globally Optimal Parameters for On-Line Learning in Multilayer Neural Networks |
| Q57660521 | Globally optimal learning rates for multilayer neural networks |
| Q51782258 | How to modify a neural network gradually without changing its input-output functionality. |
| Q59110186 | Hybrid Neural Network Approach Based Tool for the Modelling of Photovoltaic Panels |
| Q52019592 | Hybrid interior point training of modular neural networks. |
| Q52048638 | Hybrid model building methodology using unsupervised fuzzy clustering and supervised neural networks. |
| Q39995207 | Hybrid modeling as a QbD/PAT tool in process development: an industrial E. coli case study |
| Q115497229 | Hyperbolic compactification of M-theory and de Sitter quantum gravity |
| Q58646794 | Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter |
| Q108261340 | Identifying Planetary Transit Candidates in TESS Full-frame Image Light Curves via Convolutional Neural Networks |
| Q51736660 | Image reconstruction by domain-transform manifold learning. |
| Q57571807 | Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models |
| Q52113992 | Improved backpropagation learning in neural networks with windowed momentum. |
| Q96434574 | Indirect genetic effects allow escape from the inefficient equilibrium in a coordination game |
| Q48008344 | Inferential estimation of polymer quality using bootstrap aggregated neural networks |
| Q61876505 | Inferential quality assessment in breakfast cereal production |
| Q58646790 | Intelligent Noise Removal from EMG Signal Using Focused Time-Lagged Recurrent Neural Network |
| Q53149789 | Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network. |
| Q51247219 | Intelligent medical disease diagnosis using improved hybrid genetic algorithm--multilayer perceptron network. |
| Q57570778 | Interactive multiple objective programming using Tchebycheff programs and artificial neural networks |
| Q57521391 | Interpolation in Time Series: An Introductive Overview of Existing Methods, Their Performance Criteria and Uncertainty Assessment |
| Q52326620 | Introduction to neural networks. |
| Q53359674 | Investigating Biological Assumptions through Radical Reimplementation. |
| Q38758839 | Investigation of different classifiers and channel configurations of a mobile P300-based brain-computer interface |
| Q34462644 | Issues in Bayesian Analysis of Neural Network Models |
| Q51897986 | L(p) approximation capabilities of sum-of-product and sigma-pi-sigma neural networks. |
| Q52107371 | Learning and approximation capabilities of adaptive spline activation function neural networks. |
| Q52107409 | Learning dynamical systems by recurrent neural networks from orbits. |
| Q52107365 | Learning persistent dynamics with neural networks. |
| Q52125012 | Learning phase synchronization from nonsynchronized chaotic regimes. |
| Q92582883 | Learning with Known Operators reduces Maximum Training Error Bounds |
| Q57660524 | Learning with regularizers in multilayer neural networks |
| Q37327254 | Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network |
| Q61776035 | Listening to the forest: An artificial neural network-based model of carbon uptake at Harvard Forest |
| Q53805421 | Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features. |
| Q92460622 | Machine Learning Allows Calibration Models to Predict Trace Element Concentration in Soils with Generalized LIBS Spectra |
| Q30483096 | Machine Learning: A Crucial Tool for Sensor Design |
| Q97520857 | Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition |
| Q38722499 | Machine learning for autonomous crystal structure identification. |
| Q92886017 | Machine learning in electronic-quantum-matter imaging experiments |
| Q58917736 | Mathematical Model Based on BP Neural Network Algorithm for the Deflection Identification of Storage Tank and Calibration of Tank Capacity Chart |
| Q38709514 | Mechanisms of action of sacubitril/valsartan on cardiac remodeling: a systems biology approach. |
| Q92965230 | Metabolic perceptrons for neural computing in biological systems |
| Q39828825 | Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. |
| Q92163052 | Minimal Linear Networks for Magnetic Resonance Image Reconstruction |
| Q51899605 | Minimization of error functionals over perceptron networks. |
| Q38784023 | Missense variant pathogenicity predictors generalize well across a range of function-specific prediction challenges |
| Q114225551 | Model Order Reduction Method Based on Machine Learning for Parameterized Time-Dependent Partial Differential Equations |
| Q44399518 | Modeling Cross-Modal Enhancement and Modality-Specific Suppression in Multisensory Neurons |
| Q39215038 | Modelling hourly dissolved oxygen concentration (DO) using dynamic evolving neural-fuzzy inference system (DENFIS)-based approach: case study of Klamath River at Miller Island Boat Ramp, OR, USA. |
| Q58219403 | Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration |
| Q52069128 | Modular neural networks for non-linearity recovering by the Haar approximation. |
| Q59538713 | Monitoring reliability of sensors in an array by neural networks |
| Q51640353 | Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks). |
| Q90814474 | Multi-resolution convolutional neural networks for inverse problems |
| Q58052350 | Multi-user detection using non-parametric Bayesian estimation by feed forward neural networks |
| Q52195760 | Multilayer Perceptrons to Approximate Quaternion Valued Functions. |
| Q59101182 | Multilayer perceptron for robust nonlinear interval regression analysis using genetic algorithms |
| Q58194864 | Multivariate detection capability using a neural classifier for nonselective signals |
| Q56941506 | NARX neural networks for nonlinear analysis of structures in frequency domain |
| Q58268841 | NEURAL NETWORKS FOR AIR POLLUTION NOWCASTING |
| Q49110920 | NL(q) Theory: A Neural Control Framework with Global Asymptotic Stability Criteria |
| Q57660527 | Natural Gradient Descent for On-Line Learning |
| Q57600162 | Nature-inspired computing approach for solving non-linear singular Emden–Fowler problem arising in electromagnetic theory |
| Q59040328 | Neural Network Inverse Model Control Strategy: Discrete-Time Stability Analysis for Relative Order Two Systems |
| Q56863783 | Neural Networks and the Bias/Variance Dilemma |
| Q58024424 | Neural identification applied to predictive control of a solar plant |
| Q36870070 | Neural network analysis of flow cytometry immunophenotype data |
| Q73186275 | Neural network approximation of continuous functionals and continuous functions on compactifications |
| Q57606772 | Neural network based modelling of environmental variables: A systematic approach |
| Q35211153 | Neural network based optimization of drug formulations |
| Q50765935 | Neural network based tracking control of a flexible macro-micro manipulator system. |
| Q94686378 | Neural network interpolation of exchange-correlation functional |
| Q78080185 | Neural network model to control an experimental chaotic pendulum |
| Q43338691 | Neural network modeling for on-line estimation of nutrient dynamics in a sequentially-operated batch reactor |
| Q36800638 | Neural network modelling |
| Q39306740 | Neural network molecular dynamics simulations of solid-liquid interfaces: water at low-index copper surfaces. |
| Q34019146 | Neural network potential-energy surfaces in chemistry: a tool for large-scale simulations |
| Q128210099 | Neural network potentials for chemistry: concepts, applications and prospects |
| Q45891795 | Neural networks and chaos: construction, evaluation of chaotic networks, and prediction of chaos with multilayer feedforward networks. |
| Q39980566 | Neural networks applied to determine the thermophysical properties of amino acid based ionic liquids. |
| Q52277818 | Neural networks as 'software sensors' in enzyme production. |
| Q46210585 | Neural networks for functional approximation and system identification |
| Q43360401 | Neural networks for process control and optimization: two industrial applications. |
| Q50121801 | Neural networks for the optimization of crude oil blending |
| Q73186383 | Neural regulator design |
| Q48116473 | New supervised learning theory applied to cerebellar modeling for suppression of variability of saccade end points |
| Q58813775 | Next generation interatomic potentials for condensed systems |
| Q57542171 | Nonlinear Spectral Unmixing for the Characterisation of Volcanic Surface Deposit and Airborne Plumes from Remote Sensing Imagery |
| Q52069129 | Nonlinear canonical correlation analysis by neural networks. |
| Q57691778 | Nonlinear neural-based modeling of soil cohesion intercept |
| Q58052454 | Nonparametric decision algorithms for CAC in ATM networks |
| Q58646792 | Novel FTLRNN with Gamma Memory for Short-Term and Long-Term Predictions of Chaotic Time Series |
| Q57600253 | Numerical treatment of nonlinear Emden–Fowler equation using stochastic technique |
| Q62671982 | Observing the Effects of Overdesign in the Automatic Design of Control Software for Robot Swarms |
| Q26784640 | On Training Efficiency and Computational Costs of a Feed Forward Neural Network: A Review |
| Q52012980 | On neural network techniques in the secure management of communication systems through improving and quality assessing pseudorandom stream generators. |
| Q35544475 | On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes |
| Q58917957 | On the Variability of Neural Network Classification Measures in the Protein Secondary Structure Prediction Problem |
| Q51640999 | On the capabilities of neural networks using limited precision weights. |
| Q52074109 | On the exact solution of the Parity-N problem using ordered neural networks. |
| Q31143896 | On the relationships between generative encodings, regularity, and learning abilities when evolving plastic artificial neural networks |
| Q52355676 | On the use of backpropagation neural networks in modeling environmental degradation. |
| Q52205423 | On-line learning in soft committee machines. |
| Q52041672 | On-line learning of unrealizable tasks. |
| Q51806397 | On-line lower-order modeling via neural networks |
| Q59118255 | One-Step-Ahead Predictive Control for Hydroturbine Governor |
| Q58946138 | Online artificial neural network model-based nonlinear model predictive controller for the meridian UAS |
| Q56951104 | PNNARMA model: an alternative to phenomenological models in chemical reactors |
| Q58258393 | PREDICTING BANK FAILURES: A NEURAL NETWORK APPROACH |
| Q35544472 | Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach |
| Q31152416 | Performance Evaluation of Machine Learning Methods for Leaf Area Index Retrieval from Time-Series MODIS Reflectance Data. |
| Q39247822 | Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR. |
| Q39204283 | Perspective: Machine learning potentials for atomistic simulations |
| Q52198294 | Pharmaceutical granulation and tablet formulation using neural networks. |
| Q38679239 | Phenoliner: A New Field Phenotyping Platform for Grapevine Research |
| Q39825442 | Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space |
| Q58917869 | Predicting Asthma Outcome Using Partial Least Square Regression and Artificial Neural Networks |
| Q59297394 | Predicting organic acid concentration from UV/vis spectrometry measurements – a comparison of machine learning techniques |
| Q43676286 | Predicting protein folding rate from amino acid sequence |
| Q58195974 | Predicting tool life in turning operations using neural networks and image processing |
| Q33936591 | Prediction and Characterization of Missing Proteomic Data in Desulfovibrio vulgaris |
| Q58920346 | Prediction of Color Properties of Cellulase-Treated 100% Cotton Denim Fabric |
| Q58647024 | Prediction of Continuous Cooling Diagrams for the Precision Forged Tempering Steel 50CrMo4 by Means of Artificial Neural Networks |
| Q24599733 | Prediction of cytochrome P450 isoform responsible for metabolizing a drug molecule |
| Q51558367 | Principles and typical computational limitations of sparse speaker separation based on deterministic speech features. |
| Q59635336 | Provenance and data differencing for workflow reproducibility analysis |
| Q94477921 | QSAR without borders |
| Q58194868 | Quality control decisions with near infrared data |
| Q36830503 | Quantitative analysis of multivariate data using artificial neural networks: a tutorial review and applications to the deconvolution of pyrolysis mass spectra. |
| Q35136154 | Quantization of continuous arm movements in humans with brain injury. |
| Q51419979 | Quantum machine learning: a classical perspective. |
| Q57759153 | Quaternionic Multilayer Perceptron with Local Analyticity |
| Q56460820 | Real-time estimation of helicopter rotor blade kinematics through measurement of rotation induced acceleration |
| Q52000949 | Regularising neural networks using flexible multivariate activation function. |
| Q56169175 | Regularization Theory and Neural Networks Architectures |
| Q44858646 | Relaxed conditions for radial-basis function networks to be universal approximators |
| Q52925063 | Representing molecule-surface interactions with symmetry-adapted neural networks. |
| Q114974972 | Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network |
| Q58911452 | Robust Adaptive Neurocontrol of SISO Nonlinear Systems Preceded by Unknown Deadzone |
| Q58067519 | Rolling learning-prediction of product formation in bioprocesses |
| Q55294366 | Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. |
| Q52119255 | Sequential monte carlo methods To train neural network models |
| Q51889253 | Simultaneous approximations of polynomials and derivatives and their applications to neural networks. |
| Q38621095 | Smoothing tautologies, hidden dynamics, and sigmoid asymptotics for piecewise smooth systems |
| Q58680321 | Soft Computing Technique Based Online Identification and Control of Dynamical Systems |
| Q58653586 | Soil moisture retrieval from multi-instrument observations: Information content analysis and retrieval methodology |
| Q47997469 | Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements |
| Q51639469 | Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models. |
| Q57540148 | Special issue on Controlo2012: new applications of artificial neural networks in modeling and control |
| Q52051736 | Specification of training sets and the number of hidden neurons for multilayer perceptrons. |
| Q52018012 | Speech transmission index from running speech: A neural network approach |
| Q56421822 | Stable Adaptive Control of Robot Manipulators Using “Neural” Networks |
| Q63579639 | Stochastic Neural Networks for Modelling Random Processes from Observed Data |
| Q59403933 | Suboptimal Policies for Stochastic $$N$$ N -Stage Optimization: Accuracy Analysis and a Case Study from Optimal Consumption |
| Q58906081 | System Identification Using Multilayer Differential Neural Networks: A New Result |
| Q62624142 | TOOLS FOR NON-LINEAR TIME SERIES FORECASTING IN ECONOMICS – AN EMPIRICAL COMPARISON OF REGIME SWITCHING VECTOR AUTOREGRESSIVE MODELS AND RECURRENT NEURAL NETWORKS |
| Q51064423 | Temperature profile retrieval in axisymmetric combustion plumes using multilayer perceptron modeling and spectral feature selection in the infrared CO2 emission band. |
| Q55898950 | The evolutionary origins of modularity |
| Q47348646 | The forecast of the postoperative survival time of patients suffered from non-small cell lung cancer based on PCA and extreme learning machine |
| Q58255113 | The measurement of technical efficiency: a neural network approach |
| Q62607611 | The potential of different ANN techniques in evapotranspiration modelling |
| Q47555777 | Toward an Improvement of the Analysis of Neural Coding |
| Q34671748 | Trading speed and accuracy by coding time: a coupled-circuit cortical model |
| Q61968778 | Training multilayer perceptrons by principal component analysis |
| Q39544109 | Training neural networks to be insensitive to weight random variations |
| Q52042157 | Uniform Approximation and Gamma Networks. |
| Q35093847 | Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results |
| Q52019615 | Universal approximation in p-mean by neural networks. |
| Q52222692 | Universal distribution of saliencies for pruning in layered neural networks |
| Q45945436 | Unsupervised learning of phase transitions: From principal component analysis to variational autoencoders. |
| Q57606788 | Use of artificial neural networks for modelling cyanobacteria Anabaena spp. in the River Murray, South Australia |
| Q47280108 | Use of pattern recognition and neural networks for non-metric sex diagnosis from lateral shape of calvarium: an innovative model for computer-aided diagnosis in forensic and physical anthropology. |
| Q58196002 | Using artificial neural networks for the prediction of dimensional error on inclined surfaces manufactured by ball-end milling |
| Q104111181 | Using phidelta diagrams to discover relevant patterns in multilayer perceptrons |
| Q47217888 | VAMPnets for deep learning of molecular kinetics |
| Q58917884 | Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron: Application to a Sawmill Supply Chain Simulation Model |
| Q58202770 | Viscosity equations of pure fluids in an innovative extended corresponding states framework |
| Q59562306 | Visualizations of Deep Neural Networks in Computer Vision: A Survey |
| Q58917888 | Visualizing Clusters in Artificial Neural Networks Using Morse Theory |
| Q58300464 | Was the recent downturn in US real GDP predictable? |
| Q55842223 | Wedding connectionist and algorithmic modelling towards forecasting Caulerpa taxifolia development in the north-western Mediterranean sea |
| Q47173219 | What can machine learning do? Workforce implications |
| Q46281870 | Wind loads and competition for light sculpt trees into self-similar structures |
| Q46088303 | Zonal function network frames on the sphere |