GMDH type neural network algorithm identifying a network structure with the heuristic self-organization method

GMDH type neural network algorithm identifying a network structure with the heuristic self-organization method

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Article ID: iaor1999872
Country: Japan
Volume: 11
Issue: 4
Start Page Number: 198
End Page Number: 207
Publication Date: Apr 1998
Journal: Transactions of the Institute of Systems, Control and Information Engineers
Authors:
Keywords: heuristics, networks, organization
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-orgnization 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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