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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...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2267212/ https://ncbi.nlm.nih.gov/pubmed/18368140 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2007/38405 |
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