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对模糊Petri网进行改进,使其增加自学习能力,即自学习模糊Petri网(SFPN).提出了自学习模糊Petri网模型知识库的建立方法,通过构造SFPN模型知识库,建立并保存现有产品的SFPN模型,开发新产品或进行新的决策时调出并进行修正后作为新产品模型,通过较短时间和少量样本的自学习训练,便可用于新产品的预测或决策.最后通过采购预测实例验证了该方法的有效性.
This paper improves the fuzzy Petri nets so that it can increase self-learning ability, that is Self-learning Fuzzy Petri Net (SFPN) .Finally, a method to build a knowledge base of self-learning fuzzy Petri nets model is proposed. By constructing SFPN model knowledge base, The SFPN model of a product can be used for the prediction or decision-making of a new product after it is developed and revised as a new product model by developing a new product or making a new decision, and can be used for forecasting or decision-making of new products through a short period of time and a small amount of sample self-learning training.Finally, The forecasting example verifies the effectiveness of this method.