GMDH neural network algorithm using the heuristic self-organization method and its application to the pattern identification problem

In this paper, the GMDH (group method of data handling) neural network algorithm using the heuristic self-organization method is proposed. The structure of the GMDH neural network is organized automatically by using the the heuristic self-organization method used in the GMDH algorithm. Furthermore, the optimal neuron´s structures are selected automatically so as to minimize the values of the prediction error criterion AIC (Akaike´s information criterion) and the useless neurons are eliminated from the neural network. So the GMDH neural network has a good generalization ability