抄録
A revised Group Method of Data Handling (GMDH)-type neural network algorithm for medical image recognition is proposed and is applied to 3-dimensional medical image analysis of the heart. In this algorithm, the optimum neural network architecture fitting the complexity of the medical images is automatically organized using the heuristic self-organization method and the structural parameters such as the number of feedback loops, the number of neurons in the hidden layer and useful input variables are automatically selected so as to minimize the prediction error criterion defined as Prediction Sum of Squares (PSS).
