DocumentCode :
416751
Title :
Structural identification of the multi-layered neural networks by using revised GMDH-type neural network algorithm with a feedback loop
Author :
Kondo, Tadashi ; Pandya, Abhijit S.
Author_Institution :
Sch. of Health Sci., Tokushima Univ., Japan
Volume :
3
fYear :
2003
fDate :
4-6 Aug. 2003
Firstpage :
2768
Abstract :
In this paper, the revised GMDH-type neural network algorithm with a feedback loop is proposed. This algorithm is a revised version of the conventional GMDH-type neural network algorithm with a feedback loop. The revised GMDH-type neural networks can identify nonlinear complex system very accurately because the complexity of the neural network architecture increases gradually by the feedback loop calculations.
Keywords :
feedback; identification; neural net architecture; nonlinear control systems; radial basis function networks; feedback loop; group method of data handling; multilayered neural networks; nonlinear complex system; structural identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE 2003 Annual Conference
Conference_Location :
Fukui, Japan
Print_ISBN :
0-7803-8352-4
Type :
conf
Filename :
1323816
Link To Document :
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