Ecological Water Quality Assessment System Based on BP Neural Network

摘要：

　　Accurate and real-time water quality assessment is an important way to ensure healthy aquaculture and protect the water environment.Due to the diversity,nonlinear and uneven distribution of aquaculture water quality parameters,its very difficulty to assess the water quality.In this paper,the accurate water quality parameters are obtained by an adaptive weighted fusion method,then the water quality is assessment by the BP neural network,thus the software of the monitoring and evaluation system for ecological water quality is developed.The test results show that the accuracy of the water quality assessment system is 93.3%,which has good practicability.

关键词： ecological culture water quality assessment Weighted fusion BP neural network

作者: Shen-Yuheng Kuang-Yingchun Chen-Jing Jiang-Hui

作者单位: College of information science and technology,Hunan Agricultural University College of animal science and technology,Hunan Agricultural University Changsha,China

会议类型: 国际会议

会议名称: 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference(ITOEC2017)(2017 IEEE 第3届信息技术与机电一体化工程国际学术会议)

会议地点: 重庆

会议语种:英文

页码: 37-41

在线出版日期: 2017-10-03（万方平台首次上网日期，不代表论文的发表时间）