用粒子群算法来训练网络参数，直到误差趋于一稳定值，然后用优化的权值用于BP算法-PSO is used to optimize connection weights of forward-back neural network until the learning error has tended to stability, Then we use BP algorithm with optimized weights to finish short-term load forecasting