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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