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Water Demand Prediction


Marketed By :  VDM Verlag Dr. Müller   Sold By :  Kamal Books International  
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  • Product Description

Prediction of future water demand is critical to economies, communities, ecosystems, cost-effective, sustainable management and expansion of urban water supply infrastructure. Its importance increases when water must be allocated among competing users in the rapidly growing cities. This study compares Time series analysis and Artificial Neural Networks (ANNs) as techniques for water demand prediction for a case study city. The effects of meterological factors on domestic water demand prediction were taken in consideration in order to find the best model. Multilayer Perceptron(MLP), Cascade correlation (CCNN) and General Regression Neural Network (GRNN) were applied. The combination between Time Series and ANN techniques was also studied.

Product Specifications
SKU :COC21643
AuthorAmin Abo-Monasar
Number of Pages96
Publishing Year2010-12-11T00:00:00.000
Edition1 st
Book TypeProduction engineering
Country of ManufactureIndia
Product BrandVDM Verlag Dr. Müller
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-28 00:00:00
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