Artificial Neural Networks in Vehicular Pollution Modelling

• Main Authors: Khare, Mukesh (Author), Nagendra, S. M. Shiva (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Series: Studies in Computational Intelligence, 41
• Subjects: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computational intelligence.; Automotive engineering.; Air pollution.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Automotive Engineering.; Atmospheric Protection/Air Quality Control/Air Pollution.; Applications of Mathematics.; Computational Intelligence.

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...

Table of Contents:

• Vehicular Pollution
• Artificial Neutral Networks
• Vehicular Pollution Modelling–Conventional Aproach
• Vehicular Pollution Modelling -ANN Aproach
• Aplication of ANN based Vehicular Pollution Models
• Epilogue.