Utilisation of groundwater is steadily growing in many parts of the world to cope up with the increasing demand in various water user sectors. However scientific use of the precious groundwater calls for proper planning which involve modeling of the system. Recently for groundwater system planning and management use of soft computing tools is growing since these are found better than conventional numerical optimisation technique. Since groundwater problems involve non-linear objective function, their gradient with respect to parameters cause numerical instability. Simulated annealing, artificial neural network and genetic algorithms help in assessment of near global optimal solutions which are meaningful for real system simulation. Synthetic aquifer problems considered in the presented book are particularly useful to demonstrate the application of SA, ANN and GA to assess the aquifer system parameters. However when properly understood from the given applications these can be meaningfully applied to real problems.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Utilisation of groundwater is steadily growing in many parts of the world to cope up with the increasing demand in various water user sectors. However scientific use of the precious groundwater calls for proper planning which involve modeling of the system. Recently for groundwater system planning and management use of soft computing tools is growing since these are found better than conventional numerical optimisation technique. Since groundwater problems involve non-linear objective function, their gradient with respect to parameters cause numerical instability. Simulated annealing, artificial neural network and genetic algorithms help in assessment of near global optimal solutions which are meaningful for real system simulation. Synthetic aquifer problems considered in the presented book are particularly useful to demonstrate the application of SA, ANN and GA to assess the aquifer system parameters. However when properly understood from the given applications these can be meaningfully applied to real problems. 372 pp. Englisch. N° de réf. du vendeur 9783845471709
Quantité disponible : 2 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rastogi Ashok KumarProf. Ashok Kumar Rastogi obtained Ph.D. Degree in Civil Engineering from the University of Birmingham, UK in 1983. He has special interest in ground water systems planning and management, aquifer remediation, poll. N° de réf. du vendeur 5483977
Quantité disponible : Plus de 20 disponibles
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. ANN, SA and GA application in Groundwater Hydrology | Evolutionary Algorithms in Parameter Estimation of Confined and Unconfined Aquifers | Ashok Kumar Rastogi (u. a.) | Taschenbuch | 372 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845471709 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106808257
Quantité disponible : 5 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Utilisation of groundwater is steadily growing in many parts of the world to cope up with the increasing demand in various water user sectors. However scientific use of the precious groundwater calls for proper planning which involve modeling of the system. Recently for groundwater system planning and management use of soft computing tools is growing since these are found better than conventional numerical optimisation technique. Since groundwater problems involve non-linear objective function, their gradient with respect to parameters cause numerical instability. Simulated annealing, artificial neural network and genetic algorithms help in assessment of near global optimal solutions which are meaningful for real system simulation. Synthetic aquifer problems considered in the presented book are particularly useful to demonstrate the application of SA, ANN and GA to assess the aquifer system parameters. However when properly understood from the given applications these can be meaningfully applied to real problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 372 pp. Englisch. N° de réf. du vendeur 9783845471709
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Utilisation of groundwater is steadily growing in many parts of the world to cope up with the increasing demand in various water user sectors. However scientific use of the precious groundwater calls for proper planning which involve modeling of the system. Recently for groundwater system planning and management use of soft computing tools is growing since these are found better than conventional numerical optimisation technique. Since groundwater problems involve non-linear objective function, their gradient with respect to parameters cause numerical instability. Simulated annealing, artificial neural network and genetic algorithms help in assessment of near global optimal solutions which are meaningful for real system simulation. Synthetic aquifer problems considered in the presented book are particularly useful to demonstrate the application of SA, ANN and GA to assess the aquifer system parameters. However when properly understood from the given applications these can be meaningfully applied to real problems. N° de réf. du vendeur 9783845471709
Quantité disponible : 1 disponible(s)
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA79638454717006
Quantité disponible : 1 disponible(s)