发明名称 CHAOS-RECURRENT NEURONETWORK AND ITS LEARNING METHOD
摘要 PURPOSE: To obtain a chaos recurrent neuro network by which chaos neuron is applied to a neuron of a conventional recurrent circuit network by providing chaos neuro network satisfying a specific dynamic equation. CONSTITUTION: The chaos recurrent neuro network is provided with N-sets of chaos neuro networks satisfying a dynamic equation shown in the figure. Then, each of the N-sets of the chaos neuro networks receives an external input and output signals of (N-1) sets of chaos neuro networks among the N-sets of the chaos neuro networks and conducts the operation by the dynamic equation. In the equation, Wij indicates a synapse coupling coefficient with a feedback input from a j-th neuron to an i-th neuron, Xi (t) depicts an i-th neuron output at a time (t),γi shows a time delay constant,αis a non-negative parameter and (k) is a refractory timewise attenuation constant. Zi (t) is the Xi (t) when the suffix (i) belongs to a neuron set I and indicates an external input ai (t) when the suffix (i) belongs to a set E of external inputs.
申请公布号 JPH07282168(A) 申请公布日期 1995.10.27
申请号 JP19950024298 申请日期 1995.02.13
申请人 GOLD STAR ELECTRON CO LTD 发明人 TEI KOUSEN;TAKU KEIEI
分类号 G06G7/60;G06F15/18;G06N3/04;(IPC1-7):G06G7/60 主分类号 G06G7/60
代理机构 代理人
主权项
地址