Water Demand Forecasting in Hubei Province with BP Neural Network Model

Zhen Quan Tang; Gang Liu; Wen Nian Xu; Zhen Yao Xia; Hai Xiao

doi:10.4028/www.scientific.net/AMR.599.701

Paper Titles

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Fuzzy Comprehensive Evaluation of Water Resources Carrying Capacity in Suzhou City of Anhui Province
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Analysis of Time-Spatial Characteristics of Summer Precipition in Chongqing Region during 45 a
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Chemistry of Groundwater from Sandstone Aquifer in Wolonghu Coal Mine, Northern Anhui Province, China
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The Research on the Lake Eutrophication with CNOP Method
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Study on the Effect of Debris Flows from Guanba River on Qiong Lake, Sichuan, China
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 599Water Demand Forecasting in Hubei Province with BP...

Water Demand Forecasting in Hubei Province with BP Neural Network Model

Abstract:

Prediction of water demand is a basic link in water resources plan and management. Reasonable and accurate prediction of storage helps to develop the plan of water resources the next year, which is very favorable to improve the utilization ratio of water resources and reduce the waste of water resources. This paper uses BP neural network to simulate and predict the water content based on the data of water in recent ten years in Hubei province and evaluates the forecast results. The results show that BP neural network for water demand prediction is feasible.

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Periodical:

Advanced Materials Research (Volume 599)

Pages:

701-704

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.599.701

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Online since:

November 2012

Authors:

Zhen Quan Tang, Gang Liu, Wen Nian Xu, Zhen Yao Xia, Hai Xiao

Keywords:

Artificial Neural Network (ANN), BP Algorithm, Water Demand Prediction

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