Artificial Neural Networks in Vehicular Pollution Modelling / Edition 1

by Mukesh Khare, S.M. Shiva Nagendra

Overview

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.

Product Details

ISBN-13:	9783540374176
Publisher:	Springer Berlin Heidelberg
Publication date:	12/20/2006
Series:	Studies in Computational Intelligence , #41
Edition description:	2007
Pages:	242
Product dimensions:	6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Vehicular Pollution.- Artificial Neutral Networks.- Vehicular Pollution Modelling–Conventional Aproach.- Vehicular Pollution Modelling -ANN Aproach.- Aplication of ANN based Vehicular Pollution Models.- Epilogue.