Learning in Pattern Recognition
Learning in the context of a pattern recognition system is defined as the process that allows it to cope with real and ambiguous data. The various ways by which artificial decision systems operate are discussed in conjunction with their learning aspects.
KeywordsMembership Function Fuzzy System Decision Boundary Fuzzy Neural Network Combination Rule
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