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.
| ISBN: | 9783642072222 |
| Publication date: | 30th November 2010 |
| Author: | Mukesh Khare, SM Shiva Nagendra |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 242 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Maths for engineers Automotive technology and trades Artificial intelligence Applied mathematics Pollution and threats to the environment |