采用脉冲宽度调制技术实现人工神经网络
The implementation of artificial neural networks using pulse width modulation technique
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摘要: 该文提出了一种采用脉冲宽度调制(PWM)技术实现的人工神经网络(ANN),神经网络的权值采用数字存储器存储,突触电路由开关组成,电容积分电路和电流采样保持电路完成输入信号和权值信号的乘加运算,输出采用双电流镜。电路结构简单,易于集成,可用于构成前馈网络,如实现异或运算的人工神经网络。Abstract: An Artificial Neural Network (ANN) is proposed which is implemented through Pulse Width Modulation (PWM) technique. The weight of the neural network is stored in digital memory, while the synapse circuits are composed of switches. The capacitor integral circuits and the current sample/hold circuits are used to implement the Weighted summation Operation (WSO) that are required in the realization of a general ANN. This circuit is easy to be integrated because of its simple structure, which could be used to construct the feed forward neural networks, for example, to implement ANN for an XOR function.
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