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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Khare, Mukesh (Autor), Nagendra, S.M. Shiva (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Studies in Computational Intelligence, 41
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Automotive engineering.
Pollution.
Mathematics.
Computational intelligence.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Automotive Engineering.
Applications of Mathematics.
Computational Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Vehicular Pollution
  • Artificial Neutral Networks
  • Vehicular Pollution Modelling-Conventional Aproach
  • Vehicular Pollution Modelling -ANN Aproach
  • Aplication of ANN based Vehicular Pollution Models
  • Epilogue.

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