Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
GMDH Type Neural Network Algorithm Identifying a Network Structure with the Heuristic Self-Organization Method
Tadashi KONDO
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1998 Volume 11 Issue 4 Pages 198-207

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Abstract

A GMDH type neural network algorithm which can identify a nonlinear system whose structure is very complex is proposed. In this algorithm, the heuristic self-organization method of the GMDH algorithm is used and so a neural network structure which has a good prediction accuracy can be organized automatically. Furthermore, instead of the partial polynomials which are used in the GMDH algorithm, partial-neural networks which have four layered hierarchical network structures are used to construct the GMDH type neural network. The proposed algorithm is applied to a nonlinear system identification problem and its advantage over the GMDH algorithm and the conventional networks is shown.

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