Artificial Neural Networks in Vehicular Pollution Modelling

verfasst von: Mukesh Khare, S. M. Shiva Nagendra

Verlag: Springer Berlin Heidelberg

Buchreihe : Studies in Computational Intelligence

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter

1. Introduction

2. Vehicular Pollution

3. Artificial Neutral Networks

4. Vehicular Pollution Modelling–Conventional Aproach

5. Vehicular Pollution Modelling -ANN Aproach

6. Aplication of ANN based Vehicular Pollution Models

7. Epilogue

Backmatter

Titel: Artificial Neural Networks in Vehicular Pollution Modelling
verfasst von: Mukesh Khare
S. M. Shiva Nagendra
Verlag: Springer Berlin Heidelberg
Electronic ISBN: 978-3-540-37418-3
Print ISBN: 978-3-540-37417-6
DOI: https://doi.org/10.1007/978-3-540-37418-3

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