Modification of the Petri nets transition firing mechanism

The article describes a modified mechanism of state changes in the simulation models based on Petri nets. The basic idea is to provide additional feedback on the selected state variables network model. Activated transitions are selected based on the analysis values of these variables. It is proposed to solve the problem management of change states Petri nets by using a neural network. An example of generating the classifi er based on the states of the model of the neural network.