During adjustment process, a creative method named reverse adjustment was adopted, to prevent the algorithm from being got in local optimization trap.

该算法的基本思路是边构造边调整路径，在调整中采用了独创的逆向调整方法，避免算法陷入局部优化陷阱。

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A modified BP algorithm of neural network, random adjustment of parameters (RMBP) algorithm, is proposed to overcome the defect of easy going into local minimum of BP neural network.

针对BP(反向传播)神经网络学习易陷入局部极小的缺陷，提出了一种改进BP神经网络学习算法——RMBP算法。

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