scholarly article | Q13442814 |
P8978 | DBLP publication ID | journals/sensors/FuHXZ12 |
P356 | DOI | 10.3390/S120302818 |
P932 | PMC publication ID | 3376605 |
P698 | PubMed publication ID | 22736979 |
P5875 | ResearchGate publication ID | 228071789 |
P2093 | author name string | Jun Fu | |
Jianguo Xing | |||
Junbao Zheng | |||
Canqin Huang | |||
P2860 | cites work | Application of biologically modeled chaotic neural network to pattern recognition in artificial olfaction. | Q51070811 |
Nonlinear gain mediating cortical stimulus-response relations | Q52773328 | ||
Habituation in the KIII olfactory model with chemical sensor arrays | Q80618323 | ||
Electronic nose: current status and future trends | Q28265278 | ||
Electronic noses and tongues: applications for the food and pharmaceutical industries | Q30472307 | ||
Electronic tongues and their analytical application. | Q34665249 | ||
Hazardous Odor Recognition by CMAC Based Neural Networks | Q35790494 | ||
Identification of tea storage times by linear discrimination analysis and back-propagation neural network techniques based on the eigenvalues of principal components analysis of e-nose sensor signals | Q35796181 | ||
Bioinspired sensor systems | Q43073613 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 3 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | feature selection | Q446488 |
electronic nose | Q550092 | ||
P304 | page(s) | 2818-2830 | |
P577 | publication date | 2012-03-01 | |
P1433 | published in | Sensors | Q3478643 |
P1476 | title | Pattern classification using an olfactory model with PCA feature selection in electronic noses: study and application | |
P478 | volume | 12 |
Q38606539 | A critical review on the applications of artificial neural networks in winemaking technology |
Q36858119 | A novel low-cost sensor prototype for monitoring temperature during wine fermentation in tanks |
Q48218563 | Comparison of SVM, RF and ELM on an Electronic Nose for the Intelligent Evaluation of Paraffin Samples. |
Q30453866 | Diverse applications of electronic-nose technologies in agriculture and forestry |
Q38654936 | Mining Feature of Data Fusion in the Classification of Beer Flavor Information Using E-Tongue and E-Nose |
Q35971859 | Optimal Sensor Selection for Classifying a Set of Ginsengs Using Metal-Oxide Sensors |
Q37145527 | Valid Probabilistic Predictions for Ginseng with Venn Machines Using Electronic Nose |
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