Artificial Neural Networks in Vehicular Pollution Modelling [electronic resource] / by Mukesh Khare, S. M. Shiva Nagendra.

By:

Khare, Mukesh [author.]

Contributor(s):

Material type: Text

TextSeries: Studies in Computational Intelligence ; 41Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: XVI, 242 p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783540374183

Subject(s):

Additional physical formats: Printed edition:: No titleDDC classification:

519 23

LOC classification:

TA329-348
TA640-643

Online resources:

Click here to access online

Contents:

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

In: Springer eBooksSummary: 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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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
E-Book	Central Library		Available		E-43554

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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