Study of hybrid learning algorithms for realization of self-constructing fuzzy neural networks
Fuzzy neural networks (FNNs) have learning ability and adaptive capability. Usually, the typical approaches of designing an FNN are to build standard neural networks (NNs) which are designed to approximate a fuzzy algorithm or a process of the fuzzy inference system (FIS) through the structure of NN...
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Format: | Thesis |
Language: | English |
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2012
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Online Access: | http://hdl.handle.net/10356/50934 |