RBF Networks Versus Fuzzy If - Then Rules
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چکیده
منابع مشابه
Combining GAs and RBF Neural Networks for Fuzzy Rule Extraction from Numerical Data
The idea of using RBF neural networks for fuzzy rule extraction from numerical data is not new. The structure of this kind of architectures, which supports clustering of data samples, is favorable for considering clusters as if-then rules. However, in order for real if-then rules to be derived, proper antecedent parts for each cluster need to be constructed by selecting the appropriate subspace...
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