An Intelligent System on Water Quality Remote Monitor and Water Bloom Prediction

摘要：

An intelligent system on water quality GPRS remote monitor and water bloom prediction based on neural network are proposed in this paper, which can realize the automatic real-time monitor for the change of water quality and via the prediction by neural network for water bloom, thereby solve the lagging state of water quality monitor and the problem of water bloom prediction at present.

关键词： water quality GPRS water bloom prediction neural network

作者: Wang Xiao-yi Xuji-ping Liu Zai-wen Dai Jun Zhu Shi-ping

作者单位: School of computer and Information Beijing Technology and Business University Beijing, China School of computer and Information Beijing Technology and Business University Beijing,China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 521-524

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）