By the improved BP and RBF neural networks, short-term electric load is forecast and training (convergence) rate and forecasting precision are analyzed.
利用改进的BP网络和RBF网络进行了短期电力负荷预测，并对训练的收敛速度和预测精度进行了分析。
On the basis of these, the model of the nonlinear system is set up based on improved BP neural networks.
在此基础上建立了基于改进BP神经网络的非线性系统模型。
The constituting process and training method of the improved BP and RBF neural networks are put forward.
给出了改进的BP网络和RBF网络的构造过程和训练方法。
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