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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Artificial neural networks (ANNs), which are parallel computational models, comprising of interconnected adaptive processing units (neurons) have the capability to predict accurately the dispersive behavior of vehicular pollutants under complex environmental conditions. This book aims at describing step-by-step procedure for formulation and development of ANN based VP models considering meteorological and traffic parameters. The model predictions are compared with existing line source deterministic/statistical based models to establish the efficacy of the ANN technique in explaining frequent dispersion complexities in urban areas.The book is very useful for hardcore professionals and researchers working in problems associated with urban air pollution management and control.
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 242 pages. 9.50x6.25x0.75 inches. In Stock.
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Publicado por Springer Berlin Heidelberg, Springer Berlin Heidelberg Okt 2006, 2006
ISBN 10: 3540374175 ISBN 13: 9783540374176
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial neural networks (ANNs), which are parallel computational models, comprising of interconnected adaptive processing units (neurons) have the capability to predict accurately the dispersive behavior of vehicular pollutants under complex environmental conditions. This book aims at describing step-by-step procedure for formulation and development of ANN based VP models considering meteorological and traffic parameters. The model predictions are compared with existing line source deterministic/statistical based models to establish the efficacy of the ANN technique in explaining frequent dispersion complexities in urban areas.The book is very useful for hardcore professionals and researchers working in problems associated with urban air pollution management and control. 260 pp. Englisch.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2006
ISBN 10: 3540374175 ISBN 13: 9783540374176
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a step-by-step procedure for formulation and development of Artificial Neural Networks based Vehicular pollution models Takes into account meteorological and traffic aspectsUseful for professionals and researchers working in proble.
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Añadir al carritoBuch. Condición: Neu. Artificial Neural Networks in Vehicular Pollution Modelling | Mukesh Khare (u. a.) | Buch | Studies in Computational Intelligence | xvi | Englisch | 2006 | Springer | EAN 9783540374176 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Springer, Springer Okt 2006, 2006
ISBN 10: 3540374175 ISBN 13: 9783540374176
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial neural networks (ANNs), which are parallel computational models, comprising of interconnected adaptive processing units (neurons) have the capability to predict accurately the dispersive behavior of vehicular pollutants under complex environmental conditions. This book aims at describing step-by-step procedure for formulation and development of ANN based VP models considering meteorological and traffic parameters. The model predictions are compared with existing line source deterministic/statistical based models to establish the efficacy of the ANN technique in explaining frequent dispersion complexities in urban areas.The book is very useful for hardcore professionals and researchers working in problems associated with urban air pollution management and control.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 260 pp. Englisch.