GMDH-type neural networks and their application to the medical image recognition of the lungs

The GMDH (group method of data handling)-type neural networks and their application to the medical image recognition of the lungs are described. The GMDH-type neural networks have both characteristics of the GMDH and the conventional multilayered neural network and can automatically organize the optimum neural network architecture by using the heuristic self-organization method. In the GMDH-type neural networks, many types of neurons can be used to organize neural networks´ architecture and neurons´ characteristics which fit the complexity of the nonlinear system. They are automatically selected by using the error criterion defined as AIC (Akaike´s information criterion). Therefore, many types of nonlinear systems can be automatically modeled by using the GMDH-type neural networks. In the paper, the GMDH-type neural networks are applied to the medical image recognition of the lungs