Fuzzy-Neural Networks Control System Modeling Based on Extension Decision Strategy Generation Mechanism

The model of Fuzzy-neural networks (FNN) in the complicated nonlinearity controlling field is difficult to ascertain and dependent on the manpower excessively, According to actual complicated nonlinear system environment and Fuzzy-neural network parameters, the system design of machine generating the adjustable fuzzy-neural networks parameter will be structured automatically based on Extenics theory. To build such a system, the matter-element model of the Flexible materials processing is built, and the rhombus thought method is used to produce the parameters of the network. Then, Extenics estimate mechanism is used to value network, ultimately, the optimization of the fuzzy-neural network mechanism parameters and scheme is selected.