A Novel BP Neural Network for Forecasting Agriculture Water Consumption

摘要：

Forecasting agriculture water consumption is an important task in configuration of water resources. In order to forecast agriculture water consumption, this paper presents an improved BP neural network. The proposed approach employs a novel particle swarm algorithm for training weights in BP. Experimental results show that our proposed method IPSO-BP provides more accurate prediction ability than original BP algorithm and BP based on genetic algorithm (GA-BP).

关键词： agriculture waterconsumption BPneural network particle swarm optimization forecast

作者: Lei Yang Long Zhou

作者单位: Department of Electrical Information Engineering Wuhan Polytechnic University Wuhan 430023, China

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 664-667

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）