Wavelet prediction fuzzy Neural Network of the annealing furnace temperature control

the annealing furnace temperature control system in this paper is designed to enhance anti-disturbances and improve the performance and accuracy of temperature controlling for the system. Considering the controlled object's characteristics of nonlinear, large hysteresis, time-varying namely uncertainty, the authors have used the method of wavelet function being adopted in neural network prediction model to predict annealing furnace.