Clustering as a tool for self-generation of intelligent systems : a survey.
作者： Plamen Angelov , Rashmi Dutta Baruah
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摘要: Fuzzy Rule Based (FRB) and Neuro-fuzzy systems are commonly used as a basis for intelligent due to their transparent simple human interpretable structure. One of the crucial steps in designing FRB neuro-fuzzy is innovate rule base. Data clustering one approaches that have been applied extensively automatically generate rules from input-output data. The goal this paper critically review some most well recently developed techniques, emphasizing use base generation. explores shift offline techniques online finally evolving originated current demand adaptive systems.
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