Artificial Neural Networks in Vehicular Pollution Modelling
By: Khare, Mukesh [author.].
Contributor(s): Nagendra, S. M. Shiva [author.] | SpringerLink (Online service).
Material type:
BookSeries: Studies in Computational Intelligence: 41Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: XVI, 242 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540374183.Subject(s): Engineering | Artificial intelligence | Applied mathematics | Engineering mathematics | Computational intelligence | Automotive engineering | Air pollution | Engineering | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics) | Automotive Engineering | Atmospheric Protection/Air Quality Control/Air Pollution | Applications of Mathematics | Computational IntelligenceDDC classification: 519 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK10025 |
Vehicular Pollution -- Artificial Neutral Networks -- Vehicular Pollution Modelling–Conventional Aproach -- Vehicular Pollution Modelling -ANN Aproach -- Aplication of ANN based Vehicular Pollution Models -- Epilogue.
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.
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