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Fuzzy Clustering Neural Networks for Real-Time Odor Recognition System
The aim of this study is to develop a novel fuzzy clustering neural network (FCNN) algorithm as pattern classifiers for real-time odor recognition system. In this type of FCNN, the input neurons activations are derived through fuzzy c mean clustering of the input data, so that the neural system coul...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2007
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267212/ https://www.ncbi.nlm.nih.gov/pubmed/18368140 http://dx.doi.org/10.1155/2007/38405 |