Abstract:
According to the lagging state of water quality monitoring and problems of difficulty to predict water bloom, one water bloom prediction method based on grey-BP neural ne...Show MoreMetadata
Abstract:
According to the lagging state of water quality monitoring and problems of difficulty to predict water bloom, one water bloom prediction method based on grey-BP neural network is proposed and a system on water environmental remote monitoring and water bloom early warning based on GPRS wireless communication technology is built, which can obtain the automatic real-time monitoring information for the change of water quality and occurrence of water bloom, then provide a kind of efficient and practical system for water environment control.
Date of Conference: 10-12 August 2010
Date Added to IEEE Xplore: 23 September 2010
ISBN Information: