用遗传算法和神经网络混合算法预测电力短期负荷预测,是遗传算法的典型应用-Using genetic algorithm and neural network hybrid algorithm to forecast the electricity short-term load forecasting is a typical application of genetic algorithms

用此程序可以实现小波变换，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-This process can be achieved with wavelet transform, chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input

在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-In chaos theory and neural networks with short-term load forecasting, neural network is essential to choose the input, the program implemented with matlabl chaotic time series based o

基于混沌理论及小波理论的短期负荷预测 这是对混沌理论及小波理论的又一次研究-Chaos theory and wavelet theory based on short-term load forecasting