Fuzzy reinforcement learning and its applications to mobile robot navigation

Fuzzy logic is a mathematical approach to emulate the human way of thinking. It has been shown that fuzzy logic could serve as a powerful methodology for dealing with imprecision and nonlinearity efficiently. However, the conventional way of designing a fuzzy system has been a subjective approach. I...

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主要作者: Deng, Chang
其他作者: Er Meng Joo
格式: Theses and Dissertations
出版: 2008
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在線閱讀:https://hdl.handle.net/10356/4204
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總結:Fuzzy logic is a mathematical approach to emulate the human way of thinking. It has been shown that fuzzy logic could serve as a powerful methodology for dealing with imprecision and nonlinearity efficiently. However, the conventional way of designing a fuzzy system has been a subjective approach. If the fuzzy system somehow possesses learning abilities, an enormous amount of human efforts would be saved from tuning the system.