Evolutionary Algorithm Research Based on Neural Network for Fuzzy Cognitive Map

Ping Ping Liu; Ying Jun Hao

doi:10.4028/www.scientific.net/AMR.532-533.1711

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 532-533Evolutionary Algorithm Research Based on Neural...

Evolutionary Algorithm Research Based on Neural Network for Fuzzy Cognitive Map

Abstract:

Fuzzy Cognitive Map (FCM) fails to represent the measures of uncertain causal relationships, proposes an evolutionary algorithm Based on Neural Network for FCM. This algorithm integrates the high non-linear mapping ability of neural network and the globally optimizing ability of evolutionary computation to improve the dynamic reasoning for fuzzy knowledge.

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Periodical:

Advanced Materials Research (Volumes 532-533)

Pages:

1711-1715

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.532-533.1711

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Online since:

June 2012

Authors:

Ping Ping Liu, Ying Jun Hao

Keywords:

Evolutionary Computation, Fuzzy Cognitive Map, Genetic Algorithm (GA), Neural Network (NN)

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