用混沌理论和神经网络进行短期负荷预测时，神经网络的输入的选择至关重要，该程序用matlabl实现了基于混沌时间序列的嵌入维数的选择-Chaos theory and neural network short-term load forecasting, neural network input is essential to choose the program implemented in matlabl choice of embedding dimension based on chaot

使用径向基（RBF）神经网络实现混沌预测的一个例子。-Use of radial basis (RBF) neural network forecasting an example of chaos.