| P50 | author | Juan C. Mejuto | Q46677228 |
| | Jesus Simal-Gandara | Q51749900 |
| P2093 | author name string | R Rial-Otero | |
| | O A Moldes | |
| P2860 | cites work | A logical calculus of the ideas immanent in nervous activity | Q22337370 |
| | Electronic nose: current status and future trends | Q28265278 |
| | Using historical data for bioprocess optimization: modeling wine characteristics using artificial neural networks and archived process information | Q30640171 |
| | Metallic content of wines from the Canary Islands (Spain). Application of artificial neural networks to the data analysis | Q30746355 |
| | The perceptron: a probabilistic model for information storage and organization in the brain | Q34245162 |
| | Application of artificial neural networks (ANNs) in wine technology | Q38079840 |
| | Use of Fourier transform infrared spectroscopy to create models forecasting the tartaric stability of wines | Q39318659 |
| | A compact and low cost electronic nose for aroma detection | Q42123407 |
| | Pattern classification using an olfactory model with PCA feature selection in electronic noses: study and application | Q42203696 |
| | Electronic nose based on independent component analysis combined with partial least squares and artificial neural networks for wine prediction | Q42323626 |
| | Improving short term instability for quantitative analyses with portable electronic noses. | Q42762196 |
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| | Detection of abnormal fermentations in wine process by multivariate statistics and pattern recognition techniques | Q44818337 |
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| | Prediction of problematic wine fermentations using artificial neural networks | Q45061341 |
| | Analysis of polyphenols in wines: correlation between total polyphenolic content and antioxidant potential from photometric measurements. Prediction of cultivars and vintage from capillary zone electrophoresis fingerprints using artificial neural ne | Q46597752 |
| | Application of multivariate analysis and artificial neural networks for the differentiation of red wines from the Canary Islands according to the island of origin | Q47776090 |
| | Multi-element analysis of wines by ICP-MS and ICP-OES and their classification according to geographical origin in Slovenia. | Q50479796 |
| | Ultrasound-assisted extraction of phenolics from wine lees: modeling, optimization and stability of extracts during storage. | Q51157514 |
| | BioElectronic Tongue for the quantification of total polyphenol content in wine. | Q51324588 |
| | Three learning phases for radial-basis-function networks. | Q52060760 |
| | Artificial neural networks for the identification of the differences between "light" and "heavy" alcoholics, starting from five nonlinear biological variables. | Q52245968 |
| | Temporal difference learning and TD-Gammon | Q55869034 |
| | Multilayer feedforward networks are universal approximators | Q56020518 |
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| | Finite Memory Loading in Hairy Neurons | Q56474892 |
| | Multivariate statistical approaches for wine classification based on low molecular weight phenolic compounds | Q56977739 |
| | Differentiation of ‘two Andalusian DO ‘fino’ wines according to their metal content from ICP-OES by using supervised pattern recognition methods | Q57615943 |
| | Wine classification by taste sensors made from ultra-thin films and using neural networks | Q57740168 |
| | Comparative study of artificial neural network and multivariate methods to classify Spanish DO rose wines | Q58900938 |
| | Discrimination of wines based on 2D NMR spectra using learning vector quantization neural networks and partial least squares discriminant analysis | Q58985139 |
| | Determination of total polyphenol index in wines employing a voltammetric electronic tongue | Q59016744 |
| P433 | issue | 13 | |
| P921 | main subject | artificial neural network | Q192776 |
| P304 | page(s) | 2896-2908 | |
| P577 | publication date | 2015-10-13 | |
| P1433 | published in | Critical Reviews in Food Science and Nutrition | Q15716669 |
| P1476 | title | A critical review on the applications of artificial neural networks in winemaking technology | |
| P478 | volume | 57 | |