最优化算法的总结，包括了主要的搜索算法，NP问题，遗传算法，神经网络，拉格朗日松弛，对计算机优化计算提供理论基础。-Summary of optimization algorithms, including the main search algorithm, NP problems, genetic algorithms, neural networks, Lagrangian relaxation, to provide a theoretical basis for computer op

BP网络对负荷值进行预报。在预测日的前一天，每隔两个小时对电力负荷进行一次测量，一天共得到12组测量数据。并将前一天的负荷数据作为网络的样本数据。-System for forecasting of electric load.The day before the forecast day, every two hours of electricity load time measurements a day, a total of 12 groups of measurement data.

用二元三点拉格朗日插值求已知点的插值 可以对散点进行插值-dual three-point Lagrange interpolation

采用相似日和BP神经网络算法，对光伏处理进行预测-A similar date and BP neural network algorithm, to predict the photovoltaic process