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Zhou Yi, Wu ShiLin. NNF and NNPrF—Fuzzy Petri Nets Based on Neural Network for Knowledge Representation, Reasoning and Learning. Journal of Computer Science and Technology, 1996, 11(2): 133-149.
Citation: Zhou Yi, Wu ShiLin. NNF and NNPrF—Fuzzy Petri Nets Based on Neural Network for Knowledge Representation, Reasoning and Learning. Journal of Computer Science and Technology, 1996, 11(2): 133-149.

NNF and NNPrF—Fuzzy Petri Nets Based on Neural Network for Knowledge Representation, Reasoning and Learning

  • This paper proposes NNF - a fuzzy Petri Net system based on neural network for proposition logic representation, and gives the formal definition of NNF. For the NNF model, forward reasoning algorithm, backward reason-ing algorithm and knowledge learning algorithm are discussed based on weight training algorithm of neural network - Back Propagation algorithm. Thus NNF is endowed with the ability of learning a rule. The paper concludes with a discussion on extending NNF to predicate logic, forming NNPrF, and …
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