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In the neuro-computer the study processing mode

机译:在神经计算机中学习处理模式

摘要

A learning system in a neuron computer comprises a neural network for receiving an analog signal from a first analog bus through an analog input port in a time divisional manner and performing a sum-of-the-products operation, and outputting an analog output signal to a second analog bus, a control pattern memory for storing a pattern of a signal for controlling the neural network, a sequencer for producing an address of said control pattern memory and a weight memory, a weight memory for storing weight data of the analog neuro processor, and digital control unit for controlling said neural network, control pattern memory, sequencer, and weight data, and for executing a learning algorithm. The learning system further includes input control unit provided on the input side of the neural network for selecting an input signal for executing an algorithm input from said digital control means or an analog input signal input from the analog input port.
机译:神经元计算机中的学习系统包括神经网络,该神经网络用于以时分方式通过模拟输入端口从第一模拟总线接收模拟信号并执行乘积和运算,并将模拟输出信号输出至第二模拟总线,用于存储用于控制神经网络的信号的模式的控制模式存储器,用于产生所述控制模式存储器的地址的定序器和权重存储器,用于存储模拟神经处理器的权重数据的权重存储器以及数字控制单元,用于控制所述神经网络,控制模式存储器,定序器和权重数据,并执行学习算法。该学习系统还包括设置在神经网络的输入侧的输入控制单元,用于选择用于执行从所述数字控制装置输入的算法的输入信号或从模拟输入端口输入的模拟输入信号。

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