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
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;
Conference_Titel :
SICE 2003 Annual Conference
Conference_Location :
Fukui, Japan
Print_ISBN :
0-7803-8352-4