TY  - BOOK
AU  - Khare,Mukesh
AU  - Nagendra,S.M.Shiva
ED  - SpringerLink (Online service)
TI  - Artificial Neural Networks in Vehicular Pollution Modelling
T2  - Studies in Computational Intelligence,
SN  - 9783540374183
AV  - TA329-348 
U1  - 519 23
PY  - 2007///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Artificial intelligence
KW  - Mathematics
KW  - Engineering mathematics
KW  - Environmental protection
KW  - Appl.Mathematics/Computational Methods of Engineering
KW  - Artificial Intelligence (incl. Robotics)
KW  - Automotive Engineering
KW  - Atmospheric Protection/Air Quality Control/Air Pollution
KW  - Applications of Mathematics
KW  - Computational Intelligence
N1  - Vehicular Pollution -- Artificial Neutral Networks -- Vehicular Pollution Modelling–Conventional Aproach -- Vehicular Pollution Modelling -ANN Aproach -- Aplication of ANN based Vehicular Pollution Models -- Epilogue
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-540-37418-3
ER  -