Aim To eliminate the influences of backlash nonlinear characteristics generally existing in servo systems, a nonlinear compensation method using backpropagation neural networks (BPNN) is presented.

目的为了消除普遍存在于伺服系统中的间隙非线性的影响，提出一种利用B P神经网络进行非线性补偿的方法。

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To eliminate the shortcoming of standard backpropagation algorithm, some modified BP algorithms in the MATLAB's neural networks toolbox are given in the paper.

针对标准BP算法存在的缺陷，本文给出了基于MATLAB语言的BP神经网络几种改进的算法。

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