To enhance the consistency verification ability of data transmission in Petri net, a consistency verification method based on fuzzy c-means and spectral feature extraction was proposed. The invention adopts a fuzzy neural network clustering Petri net data transmission channel model design, test method of Petri nets jamming signal to extract the training data set of attributes in reduction and extraction to influence the decision attribute set classification of condition attribute values, form a Petri net jamming signal extraction and selection model, and to filter the interference of symbol se...
