首页> 外国专利> Neuron device for simulating a nerve cell and neural network device, integer cluster device, feedback control device, and computer program product thereof

Neuron device for simulating a nerve cell and neural network device, integer cluster device, feedback control device, and computer program product thereof

机译:用于模拟神经细胞的神经元设备和神经网络设备,整数簇设备,反馈控制设备及其计算机程序产品

摘要

Using variable neuron thresholds and extended Hebb's rule in a neural network, a neuron device for simulating a nerve cell includes a threshold storage unit storing a threshold variable θ and threshold coefficients Δθ1 and Δθ2; an input reception unit receiving one or more input signal values at predetermined time intervals; an output unit outputting an output signal value “1” indicating that the neuron device is firing when the sum total s of received input signal values is equal to or greater than the value of the stored threshold variable θ, or a value “0” indicating that the neuron device is resting; and a threshold updating unit calculating Δθ1X+Δθ2(X−1) using the output signal value X and the stored threshold coefficients Δθ1 and Δθ2 and updating the value of the threshold variable θ stored in the threshold storage unit by increasing it by the calculation result.
机译:在神经网络中使用可变的神经元阈值和扩展的Hebb规则,用于模拟神经细胞的神经元设备包括阈值存储单元,该单元存储阈值变量θ和阈值系数Δθ 1 和Δθ 2 < / B>;输入接收单元以预定的时间间隔接收一个或多个输入信号值;输出单元,当接收到的输入信号值的总和s等于或大于所存储的阈值变量θ的值s时,输出指示神经元设备正在发射的输出信号值“ 1”,或指示输出的信号值“ 0”神经元设备正在休息;阈值更新单元使用输出信号值X和存储的阈值系数Δθ 1 1 X +Δθ 2 (X-1) >和Δθ 2 ,并通过将计算结果增加来更新存储在阈值存储单元中的阈值变量θ的值。

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