Title :
A novel NF-GMDH-IFL and its application to identification and prediction of nonlinear systems
Author :
Xiao-Mei, Zhao ; Zhi-huan, Song ; Ping, Li
Author_Institution :
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
The neurofuzzy GMDH with a feedback loop (NF-GMDH-FL) is presented, based on NF-GMDH and GMDH-FL. The feedback loop of NF-GMDH-FL are investigated and improved in this paper. The neuro fuzzy GMDH with an improved feedback loop (NF-GMDH-IFL) is developed, in which the redundant combinations and computations are discarded. NF-GMDH-IFL has faster training speed and less training time than NF-GMDH-FL. For the convenience of comparison, NF-GMDH, NF-GMDH-FL and NF-GMDH-IFL are applied to two examples, respectively. The simulations show that the capability of NF-GMDH-IFL is better than NF-GMDH and NF-GMDH-FL. Furthermore, the enormous time and memory are saved in NF-GMDH-IFL. The identification and prediction performance for nonlinear systems is observably improved.
Keywords :
forecasting theory; fuzzy neural nets; identification; nonlinear systems; feedback loop; identification; neurofuzzy GMDH; nonlinear systems; Computational modeling; Feedback loop; Fuzzy neural networks; Input variables; Neural networks; Neurons; Nonlinear control systems; Nonlinear systems; Predictive models; Radial basis function networks;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1182561