- Hauptmenü-

Kategorienanzeige

MAB

Artificial Neural Networks in Vehicular Pollution Modelling
Kategorie	Beschreibung
036a	XA-DE
037b	eng
077a	262617986 Buchausg. u.d.T.: ‡Khare, Mukesh: Artificial neural networks in vehicular pollution modelling
087q	978-3-540-37417-6
100b	Khare, Mukesh
104b	Nagendra, S. M. Shiva
331	Artificial Neural Networks in Vehicular Pollution Modelling
410	Berlin, Heidelberg
412	Springer-Verlag Berlin Heidelberg
425	2007
425a	2007
433	Online-Ressource (XVI, 242 p. 70 illus, digital)
451	Studies in Computational Intelligence ; 41
501	Includes bibliographical references (p. [227]-242)
527	Buchausg. u.d.T.: ‡Khare, Mukesh: Artificial neural networks in vehicular pollution modelling
540a	ISBN 978-3-540-37418-3
700	\|MAT003000
700	\|*92B20
700	\|92D40
700	\|92-01
700	\|TBJ
700	\|TEC009000
700b	\|629.25
700b	\|519
700b	\|620
700c	\|TA329-348
700c	\|TA640-643
700g	1272555577 ST 301
750	"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."--Jacket
902s	209191449 Kraftfahrzeug
902s	209707984 Abgasemission
902s	209485361 Mathematisches Modell
902s	210311614 Neuronales Netz
907s	209191449 Kraftfahrzeug
907s	209707984 Abgasemission
907s	209485361 Mathematisches Modell
907s	210311614 Neuronales Netz
012	264371798
081	Artificial Neural Networks in Vehicular Pollution Modelling
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-540-37418-3