| 摘要 |
An optimization apparatus using a layered neural network having an input layer formed of input units and supplied with input data and an output layer formed of output units connected to the individual input units with specified synaptic weights, which comprises a calculator circuit for calculating, for each output unit, the degree of similarity between the input data and the synaptic weight as well as the evaluation function value by causing the optimization problem to correspond to the fired units in the output layer, a detector for detecting the best matching optimum output unit on the basis of the output of the calculator circuit, and a self-organization circuit for changing the synaptic weights of a group of the output units associated with the optimum unit detected by the detector.
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