Method of configuring a neural network and a diagnosis/control system using the neural network

摘要

The number of hidden layers is no larger than 2 and a sum is determined for each case. A relationship between the sum of the inputs and teaching data for each case is expressed in a table in a descending order of the sum of inputs for each output of an output layer, and the teacher data for the maximum sum and the number of times of change in the teacher data are considered. A configuration (the number of hidden layers and the number of neurons thereof) is determined based on those data, and the coupling weights can be analytically calculated by using the table. Where the number of times of change of the teacher data is odd, some inputs do not route a second hidden layer.