Research of flood prediction based on subjective/objective evidences fusion model

摘要：

　　This paper presents a model by combining BP neural network and DS evidential reasoning,which not only achieves the feature level fusion of all subjective and objective evidences in various domains and layers,but also makes distinct models complement each other.By the experiment,this method improves classification precision by 7.9 percent and reduces the time complexity of algorithm.The model solves the problems such as high complexity of algorithms and low accuracy rate of classifications lie in the flood prediction using single models.

关键词： flood prediction subjective and objective evidences fusion BP neural network DS evidence theory

作者: WU Wei CHEN Yanming

作者单位: Department of Computer and Information EngineeringZhejiang Water Conservancy and Hydropower College

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1272-1276

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）