C++ Neural Networks and Fuzzy Logic: Preface

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fuzzy inputs—these are the fuzzy actions to perform, such as increase the water temperature

setting by a very large amount

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inputs—these are the (crisp) dials on the machine to control its behavior, for example, water

temperature setting = 3.423, converted from fuzzy inputs with a defuzzifier

The key to development of a fuzzy control system is to iteratively construct a fuzzy rule base that yields the

desired response from your machine. You construct these fuzzy rules from knowledge about the problem. In

many cases this is very intuitive and gives you a robust control system in a very short amount of time.

C++ Neural Networks and Fuzzy Logic:Preface

Fuzzy Control Systems

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C++ Neural Networks and Fuzzy Logic:Preface

Fuzzy Control Systems

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