Adaptive fuzzy Petri nets and its application
一种自适应模糊Petri网及其应用*

Fuzzy Petri nets(FPN) is a powerful modeling tool for knowledge-based systems based on fuzzy production rules, but it lacks of strong learning ability. Based on the FPN, imported the artificial neural networks, this paper presented an adaptive fuzzy Petri nets(AFPN) model. So introduced the back propagation algorithm of neural networks into FPN. The AFPN has powerful reasoning ability and adaptive ability. It has important significance to build, update and maintenance the knowledge systems.