A novel NF-GMDH-IFL and its application to identification and prediction of nonlinear systems

被引：0
作者：
Zhao, XM [1 ]
Song, ZH [1 ]
Li, P [1 ]
机构：
[1] Zhejiang Univ, Natl Lab Ind Control Technol, Inst Ind Proc Control, Hangzhou 310027, Peoples R China
来源：
2002 IEEE REGION 10 CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND POWER ENGINEERING, VOLS I-III, PROCEEDINGS | 2002年
关键词：
GMDH; neural network; neurofuzzy; nonlinear systems; identification; prediction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 neurofuzzy 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.
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页码：1286 / 1289
页数：4
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