摘要
针对BP神经网络的不足,采用PSO算法对BP神经网络进行优化,建立一个混合的神经网络洪水预测模型。实验仿真结果表明,该模型的预测效果优于传统的洪水预测模型。
As for the inadequate of BP neural network, PSO algorithm is used for its optimization, thus creating a hybrid neural network model for flood forecasting. Experimental results show that the model＇ s prediction is more effective than the traditional flood forecasting model.
出处
《柳州职业技术学院学报》
2009年第1期81-85,共5页
Journal of Liuzhou Vocational & Technical College
关键词
粒子群
BP神经网络
洪水预测
particle swarm optimization
BP neural network
flood forecasting
