초록 ▼

A self-extending shape neural-network is capable of a self-extending operation in accordance with the studying results. The self-extending shape neural-network has initially minimum number of the intermediate layers and the number of the nodes (units) within each layer by the self-extension of the n

A self-extending shape neural-network is capable of a self-extending operation in accordance with the studying results. The self-extending shape neural-network has initially minimum number of the intermediate layers and the number of the nodes (units) within each layer by the self-extension of the network construction so as to shorten the studying time and the discriminating time. This studying may be effected efficiently by the studying being directed towards the focus when the studying is not focused.

대표청구항 ▼

A self-extending neural-network having a multilayer neural-network composed of at least an input layer, an intermediate layer, and an output layer, which, during a studying operation, obtains inputted studying data and outputs output data according to a value of a coupling weight between nodes in th

A self-extending neural-network having a multilayer neural-network composed of at least an input layer, an intermediate layer, and an output layer, which, during a studying operation, obtains inputted studying data and outputs output data according to a value of a coupling weight between nodes in the multilayer neural-network, comprising: study progress judging portion means for judging whether or not the studying operation is progressing in accordance with the output data and the value of the coupling weight between the nodes and for outputting an extending instruction signal when the studying operation has been judged not to be progressing; and self-extending portion means, responsive to said extending instruction signal, for providing a new node in accordance with said extending instruction signal from said study progress judging portion means; said self-extending portion means setting a condition of a coupling between the nodes and said new node and an initial value of a coupling weight between the nodes and said new node so as to self-extend construction of the self-extending neural-network, thereby continuing the studying operation when the construction of the self-extending neural-network has been self-extended by said self-extending portion means.