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    • 9. 发明专利
    • NEURAL CIRCUIT NETWORK DEVICE
    • JPH0476685A
    • 1992-03-11
    • JP18649790
    • 1990-07-12
    • MITSUBISHI ELECTRIC CORPTOKYO ELECTRIC POWER CO
    • AKIMOTO YOSHIAKITANAKA HIDEOOGI HIROMIIZUI YOSHIOTAOKA HISAOSAKAGUCHI TOSHIAKI
    • G06G7/60G06F15/18G06N3/08G06N99/00
    • PURPOSE:To shorten an execution time due to learning by setting up values obtained by respectively multiplying the input value of learning data and a value calculated from frequency by an output value and a prescribed coefficient as coupling weight between an intermediate layer and an output layer. CONSTITUTION:This neural circuit network device is constituted of an input layer 11a, an intermediate layer 11b and an output layer 11c and provided with plural nerve elements 11 simulating nerve cells in an organism and coupling weight for coupling between nerve element layers. Then frequency for the learning data constituted of a pair of an input value obtained at a fixed interval and an output value corresponding to the input value is set up as coupling weight for coupling the input layer and the intermediate layer by using a procedure for developing a function forming the learning data by a sampling function, developing the sampling function by a triangular function and approximating the triangular function by a sigmoid function, a value calculated by the frequency and the input value of the learning data is set up as the bias of the intermediate layer, and a value obtained by the frequency and the input value and output value of the learning data is set up as coupling weight for coupling the intermediate layer and the output layer to rapidly obtain a required output.