2010, ISBN: 9783639304558

[ED: Softcover], [PU: VDM Verlag Dr. Müller], Prediction of future water demand is critical to economies, communities, ecosystems, cost-effective, sustainable management and expansion of … Mehr…

[ED: Softcover], [PU: VDM Verlag Dr. Müller], 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. 2010. 96 S. Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

ISBN: 9783639304558

Prediction of future water demand is critical to economies, communities, ecosystems, cost-effective, sustainable management and expansion of urban water supply infrastructure. Its importa… Mehr…

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. Bücher, Hörbücher & Kalender / Bücher / Sachbuch / Herstellung & Technik / Herstellungs- & Verfahrenstechnik, [PU: VDM Verlag Dr. Müller, Saarbrücken]<

2010, ISBN: 3639304551

[EAN: 9783639304558], Neubuch, [PU: VDM Verlag Nov 2010], Neuware - Prediction of future water demand is critical to economies, communities, ecosystems, cost-effective, sustainable manage… Mehr…

[EAN: 9783639304558], Neubuch, [PU: VDM Verlag Nov 2010], Neuware - 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. 96 pp. Englisch<

ISBN: 9783639304558

Water Demand Prediction Water-Demand-Prediction~~Amin-Abo-Monasar Science>Engineering>Engr Ref Paperback, VDM Verlag

2010, ISBN: 3639304551

Kartoniert / Broschiert, mit Schutzumschlag neu, [PU:VDM Verlag]