基于混沌神经网络的供配电系统故障诊断，采用引入动量项和混沌映射的改进BP算法。

The improved BP algorithm added momentum item and chaotic mapping was adopted in fault diagnosis of power supply system based on chaotic neural network.

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介绍了一种基于BP算法的神经网络在电机转子常见故障诊断中的应用。

This paper describes a new method for rotor fault diagnosis of electric machinery drag system, artificial neural network, which is based on BP algorithm.

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传统的神经网络算法应用于故障诊断时，具有易陷入局部极小值，收敛速度较慢等缺点。

Traditional neural network algorithms are easy to fall into the local minimum, slow convergence when in fault diagnosis.

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