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Knowledge Based Neurocomputing
by Cloete, Ian & Zurada, Jacek M. ( Eds. )
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Neurocomputing methods are loosely based on a model of the brain as a network of simple interconected processing elements corresponding to neurons. These methods drreive their power from the collecgive processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing encironment. In knowledge-based neurocomputing, the emphasis is on the use and representation of knowledge about an application. The focus is on methods to encode prior knowledge and to extract, refine, and revise knowledge within a neurocmputing system. ISBN: 81-7371-393-6
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