Study on the Evaluation Model of Water Environment Quality based on Artificial Neural Network
The artificial neutral network is a new frontier of complex nonlinearity science and artificial intelligence, and the application study of water quality assessment is still in its infant stage both at home and abroad. On the basis of BP artificial neural network, this paper proposes the water environment quality evaluation model by applying detailed BP algorithm. The above mentioned model has been used to evaluate the water quality in Danjiangkou reservoir. And the test result shows that the model is practicable in assessing the water quality, besides, this evaluation result proves more objective and reasonable compared with other evaluation methods.
HP algorithm artificial neural network water quality assessment
Yang Fang Wang Meng Ye Min
China University of Geosciences Wuhan 430074 China Ecology Research Center Changjiang Water Resou Ecology Research Center Changjiang Water Resources Protection Institute Wuhan 430051 China
国际会议
秦皇岛
英文
5-8
2010-11-05(万方平台首次上网日期,不代表论文的发表时间)