The Identification and Research of Temperature Adjustment System Based on DFNN

A new kind of identification method based on Dynamic Fuzzy Neural Network (DFNN) is designed for the model of house. Firstly, existing problems in conventional control method are presented. Then, a novel learning algorithm for DFNN to weight adjustment is proposed. Finally, simulation studies and comprehensive comparisons with other results demonstrate that the mathematical model is effective and the proposed algorithm is superior.