The learning algorithms of the GMDH neural network and their application to the medical image recognition

Abstract

In this paper, two types of the learning algorithms of the GMDH (group method of data handling) neural network are proposed. By using the heuristic self-organization method, the GMDH neural network can automatically organized the optimal neural network structure fit for the complexity of the nonlinear system. In the learning calculations, the neural network structure which is organized by the GMDH neural network is not changed and the values of the weights between the neurons are renewed. The GMDH neural network algorithm and its learning algorithms are applied to the medical image recognition.