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Electronic Nose Based on an Optimized Competition Neural Network

In view of the fact that there are disadvantages in that the class number must be determined in advance, the value of learning rates are hard to fix, etc., when using traditional competitive neural networks (CNNs) in electronic noses (E-noses), an optimized CNN method was presented. The optimized CN...

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מידע ביבליוגרפי
Main Authors: Men, Hong, Liu, Haiyan, Pan, Yunpeng, Wang, Lei, Zhang, Haiping
פורמט: Artigo
שפה:Inglês
יצא לאור: Molecular Diversity Preservation International (MDPI) 2011
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC3231367/
https://ncbi.nlm.nih.gov/pubmed/22163887
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s110505005
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