Quality Intelligent Monitor Controlling of Cotton Gin Process Based on Genetic Fuzzy Neural Network Algorithms

This method combines fuzzy BP networks with genetic algorithms. As system exists fuzzy variables, it can be used for fuzzy BP networks and there is a characteristic for genetic algorithms that is good to constringency. With genetic fuzzy neural network algorithms, a cotton gin process system, which is with quality intelligent monitor controlling in time was developed. It is an effective means on the occasions of lack of precise mathematical description and in the case of nonlinear characteristics. The proposed methods rise effectiveness of real time for monitor control of gin process. The principle on genetic fuzzy BP network was given and the model and leaning algorithm derived for gin process were described.