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