论文信息 - Research on prediction of water quality of water reservoir with combined Multiple Neural Networks model

Research on prediction of water quality of water reservoir with combined Multiple Neural Networks model

Previously, it is not easy to solve problems like having a lot of Water Factors, being hard to express the whole process of change when use deterministic model to predict the water quality. In order to solve the problem, the essay founded and used BP and RBF, the predict model of combined Multiple Neural Networks to check and simulate the data of water quality monitoring of Fengman Reservoir on the Songhua River from 1985 to 2010. The result is that the prediction is obviously better than using previous Single Neural Network. The prediction is more accurate and practical. It can provide better support of decision on management of water environment of the reservoir.

Li Ran | Wang Lin | Li Kefeng | Tuo Youcai

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