<p>A learning method for data processing system characterized in: i) deciding ignition patterns in input layer and in output layer artificially concerning to plural inputs and outputs; ii) increasing weights of synapses in middle layer and output layer in a case that neurons ignite with more than certain rate among those corresponding to neurons in input layer and output layer and neurons adjacent to them in the middle layer; iii) executing the same processing for all inputs and outputs as what is performed above; in a learning method for data processing system comprising: i) an input layer and an output layer possessed plural neurons to ignite and output a certain data according to result performed a certain processing in inputted data; and ii) a middle layer, settled between the input layer and output layer, possessed the plural neurons and simultaneously, each neuron is combined with each neuron in the input layer and output layer. <IMAGE></p>
申请公布号
DE69123867(T2)
申请公布日期
1997.04.30
申请号
DE1991623867T
申请日期
1991.03.28
申请人
YOZAN INC., TOKIO/TOKYO, JP;SHARP K.K., OSAKA, JP
发明人
TAKATORI, SUNAO, TOKYO 155, JP;YAMAMOTO, MAKOTO, TOKYO 155, JP