Hybridization of neural and fuzzy system
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M. Sturm; K. Eder; W. Brauer; J.C. GonzΓ‘lez
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Article
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1997
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Elsevier Science
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English
β 668 KB
In this paper a hybrid system for motor control on testbeds, consisting of neural networks with a self-organizing process state detection and fuzzy rulebases, is proposed. The basic mechanism used for hybridization is a multiagent system composed from loosely interconnected subsystems for the differ