Research of groundwater environment early warning based on intelligent algorithm

摘要：

according to the need for groundwater health evaluation and its non-linear computation difficulty, on the basis of the problem effectively solved by Intelligent algorithm, this paper focused on analyzing calculation principle and characteristics about the BP neural network and support vector machine algorithm in groundwater health prediction model, designed the calculation model of support vector machine based on multi-level classifier, rough set theory was introduced to support vector machine calculation process optimization. It solved complex nonlinear relationship between the small sample and groundwater health degreed, and speeded up the convergence speed, effectively improved the prediction accuracy and stability.

关键词： early warning BP neural network Support vector machine Rough set theory

作者: yuchun wu xiaojian long

作者单位: School of Electronic and Information Engineering Jinggangshan University Jian, Jiangxi,China 343009 School of Continuing Education Jinggangshan University Jian, Jiangxi ,China 343009

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 536-540

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）