The improved BP algorithm added momentum item and chaotic mapping was adopted in fault diagnosis of power supply system based on chaotic neural network.
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 powerful nonlinear mapping function of BP neural network can settle the nonlinear problem of torque Angle control.
BP神经网络具有强大的非线性映射能力，可以解决转矩角控制中的非线性问题。
The inverse mapping is achieved through BP network, and neural network modul is constructed for designing process parameters.
通过误差逆传播(BP)网络实现了逆映射，建立了工艺参数设计的神经网络模块。
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