A Knowledge Representation and Learning Model Based on FNPN in PAAIS

Yu Hui

doi:10.4028/www.scientific.net/AMR.586.370

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 586A Knowledge Representation and Learning Model...

A Knowledge Representation and Learning Model Based on FNPN in PAAIS

Abstract:

Through used Fuzzy Petri Net to set up the knowledge representation and reasoning rules, a Fuzzy Neural Petri Network (FNPN) method whose parameters can be trained by Neural Network was proposed in this paper. The experimental result indicated that, the Neural Network and the Petri net combination can make the fuzzy production rule systems more effective, and also can be applied to most practical Petri net models and fuzzy systems.

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Periodical:

Advanced Materials Research (Volume 586)

Pages:

370-373

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.586.370

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Online since:

November 2012

Authors:

Yu Hui

Keywords:

Learning, Neural Network (NN), Petri Net

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References

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