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Synopsis
The book can be broken down into two basic parts: (1) Chapter 3 through 6 the main ingredient is a neural net; and (2) Chapter 7 through 10 are about fuzzy neural nets. The chapters on (layered, feedforward) neural nets include using neural nets to approximate fuzzy systems, to equal fuzzy systems and to solve fuzzy problems. The chapters on fuzzy neural nets focus on using them to approximate fuzzy systems or equal fuzzy systems. The topic of neural nets, fuzzy systems and fuzzy neural nets are brought together in Chapter 11 with the design of a fuzzy teaching machine whose inputs/outputs are verbal statements.