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PULSE UNIT CALCULATION OF THE ACTIVATION FUNCTION OF THE ARTIFICIAL NEURAL NETWORK

机译:人工神经网络激活功能的脉冲单位计算

摘要

The utility model relates to the field of computing, namely, a pulse unit for calculating the activation function of an artificial neural network, including a sigma-delta modulator, the output of which is connected to the input of the averaging filter, the control input of the multiplexer and two inputs of the three-input adder, the output of the averaging filter is connected to the absolute value calculation unit, the output of which is connected to the first signal input of the multiplexer and to the inverter, which is connected to the third signal input of the multiplexer, the second input of the multiplexer is connected to generator 0, the output of the multiplexer is connected to a sigma-delta multiplier modulator, the output of which is connected to a three-input adder, the output of which is connected to a sigma-delta adder modulator, the output of which is the output of the impulse unit for calculating the activation function of the artificial neural network. The utility model provides a reduction in the resource intensity of the implementation of the activation functions of neurons of artificial neural networks on the basis of the FPGA.
机译:本实用新型涉及计算领域,即用于计算人工神经网络的激活函数的脉冲单元,包括sigma-delta调制器,其输出连接至平均滤波器的输入,控制输入在多路复用器和三输入加法器的两个输入中,平均滤波器的输出连接到绝对值计算单元,该绝对值计算单元的输出连接到多路复用器的第一个信号输入并连接到反相器到多路复用器的第三信号输入,多路复用器的第二输入连接到发生器0,多路复用器的输出连接到sigma-delta乘法器调制器,该调制器的输出连接到三输入加法器,其输出连接到sigma-delta加法器,其输出是用于计算人工神经网络的激活函数的脉冲单元的输出。本实用新型在FPGA的基础上降低了人工神经网络神经元激活功能实现的资源强度。

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