ENGLISH

Artificial Neural Networks In Vehicular Pollution Model

By Mukesh Khare , S.M. Shiva Nagendra

Book information

Publisher
Springer
Year
2006
ISBN
9783540374176, 3-540-37417-5
Open Library ID
OL9056782M
Language
english
Format
PDF
Filesize
5 MB (5144523 bytes)
Series
Studies in Computational Intelligence
Edition
1
Pages
247\247
Library
Springer
Time added
2009-08-06 07:02:15

Description

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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