Applying Fuzziness in Neural Symbolic-Integration

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Applying Fuzziness in Neural Symbolic-Integration

This paper presents a new approach to upgrade the performance of logic programming in Hopfield network by applying fuzziness in the system. Fuzzy Hopfield neural network clustering technique is used as it can solve the combinatorial optimization problems that always occur in Hopfield network. Neural...

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Bibliographic Details
Main Authors:	Farah Liyana, Azizan, Sathasivam, Saratha
Format:	Working Paper
Language:	English
Published:	School of Mathematical Sciences, USM 2012
Subjects:	QA Mathematics QA75 Electronic computers. Computer science
Online Access:	http://ir.unimas.my/id/eprint/758/ http://ir.unimas.my/id/eprint/758/1/Applying%20Fuzziness%20in%20Neural%20Symbolic-Integration%20%28abstract%29.pdf

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