Genetic Granular Cognitive Fuzzy Neural Networks and Human Brains for Comparative Cognition
In this thesis, Genetic Granular Cognitive Fuzzy Neural Networks (GGCFNN), combining genetic algorithms (GA) and granular cognitive fuzzy neural networks (GCFNN), is proposed for pattern recognition problems. According to cognitive patterns, biological neural networks in the human brain can recogniz...
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| Format: | Others |
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Digital Archive @ GSU
2005
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| Online Access: | http://digitalarchive.gsu.edu/cs_theses/7 http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1006&context=cs_theses |