Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Artificial Neural Networks in Vehicular Pollution Modelling

Artificial Neural Networks in Vehicular Pollution Modelling

Khare, Mukesh
Nagendra, S. M. Shiva

Paperback

Series: Studies in Computational Intelligence, Book 41

Technology & EngineeringGeneral ComputersGeneral Mathematics

ISBN10: 3642072224
ISBN13: 9783642072222
Publisher: Springer Nature
Published: Nov 30 2010
Pages: 242
Weight: 0.81
Height: 0.55 Width: 6.14 Depth: 9.21
Language: English

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.

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