Artificial Neural Networks in Vehicular Pollution Modelling

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Khare, Mukesh (Συγγραφέας), Nagendra, S. M. Shiva (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Studies in Computational Intelligence, 41
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Khare, Mukesh.  |e author. 
245 1 0 |a Artificial Neural Networks in Vehicular Pollution Modelling  |h [electronic resource] /  |c by Mukesh Khare, S. M. Shiva Nagendra. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2007. 
300 |a XVI, 242 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 41 
505 0 |a Vehicular Pollution -- Artificial Neutral Networks -- Vehicular Pollution Modelling–Conventional Aproach -- Vehicular Pollution Modelling -ANN Aproach -- Aplication of ANN based Vehicular Pollution Models -- Epilogue. 
520 |a 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. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Applied mathematics. 
650 0 |a Engineering mathematics. 
650 0 |a Computational intelligence. 
650 0 |a Automotive engineering. 
650 0 |a Air pollution. 
650 1 4 |a Engineering. 
650 2 4 |a Appl.Mathematics/Computational Methods of Engineering. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Automotive Engineering. 
650 2 4 |a Atmospheric Protection/Air Quality Control/Air Pollution. 
650 2 4 |a Applications of Mathematics. 
650 2 4 |a Computational Intelligence. 
700 1 |a Nagendra, S. M. Shiva.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540374176 
830 0 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 41 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-37418-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)