微带线的神经网络模型
THE NEURAL NETWORK MODEL OF MICROSTRIP LINE
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摘要: 本文采用多层感知器神经网络对微带线进行建模。将微带线的结构尺寸和频率作为神经网络的输入样本。微带线的电特性参数(由电磁场数值方法获得)作为输出样本,采用BP算法对多层感知器进行训练。当对多层感知器训练结束后,在学习范围内将微带线的尺寸和频率输入到多层感知器,从输出端可以立即得到准确的电特性参数。Abstract: The multi-layer perceptron is introduced to characterize the microstrip line．The size of microstrip line and the frequency are defined as the input saples of the multi-layer perceptron，and the electric characteristic parameters of the microstrip，which are obtained by the numerical method，are determined as the desired output samples．As the perceptron has been trained with the back propagation algorithm，the electric characteristic parameters of the microstrip line at any arbitrary size and frequencies can be obtained quickly from the multi-layer perceptron．
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杨诠让，毫米波传输线．北京：电子工业出版社，1986，31-74．[2]Webb A R．Functional approximation by feed forward networks：A least squares approach to generation IEEE Trans．On Neural Network，1994，．NN-5(2)：363-371． -
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