中文说明：将粒子群算法与BP神经网络结合用于BP神经网络的训练，即优化网络中的连接权值和各项阈值。输入变量选择风速，风向角的余弦值及正弦值，输出变量选择风电功率。利用某风电场过去一年的实测数据作为训练样本，基于MATLAB编写PSO-BP算法进行风电功率预测。
English Description：
Particle swarm optimization (PSO) and BP neural network (BP neural network) are combined to train BP neural network, that is to optimize the connection weights and thresholds in the network. The input variable is wind speed, cosine and sine of wind direction angle, and the output variable is wind power. Using the measured data of a wind farm in the past year as training samples, PSO-BP algorithm is compiled based on MATLAB to predict wind power.