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OverviewArtificial 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. Full Product DetailsAuthor: Mukesh Khare , S.M. Shiva NagendraPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: Softcover reprint of hardcover 1st ed. 2007 Volume: 41 Dimensions: Width: 15.50cm , Height: 1.30cm , Length: 23.50cm Weight: 0.454kg ISBN: 9783642072222ISBN 10: 3642072224 Pages: 242 Publication Date: 30 November 2010 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of print, replaced by POD ![]() We will order this item for you from a manufatured on demand supplier. Table of ContentsVehicular Pollution.- Artificial Neutral Networks.- Vehicular Pollution Modelling–Conventional Aproach.- Vehicular Pollution Modelling -ANN Aproach.- Aplication of ANN based Vehicular Pollution Models.- Epilogue.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |