Title : 
Wavelet prediction fuzzy Neural Network of the annealing furnace temperature control
         
        
            Author : 
Li, Jiejia ; Feng, Haitao ; Li, Shitao
         
        
            Author_Institution : 
Sch. of Inf. & Control Eng., Shenyang Jianzhu Univ., Shenyang, China
         
        
        
        
        
        
            Abstract : 
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.
         
        
            Keywords : 
furnaces; fuzzy neural nets; hysteresis; temperature control; wavelet transforms; annealing furnace temperature control system; wavelet prediction fuzzy neural network; Annealing; Artificial neural networks; Furnaces; Fuzzy control; Fuzzy neural networks; Predictive models; Temperature control; Annealing furnace; Fuzzy Neural Network; Prediction; Wavelet Neural Network;
         
        
        
        
            Conference_Titel : 
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
         
        
            Conference_Location : 
Wuhan
         
        
            Print_ISBN : 
978-1-4244-8036-4
         
        
        
            DOI : 
10.1109/ICEICE.2011.5777974