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...
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: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
System-Ergonomic Design of Cognitive Automation Dual-Mode Cognitive Design of Vehicle Guidance and Control Work Systems /
por: Onken, Reiner, et al.
Publicado: (2010) -
Applications of Neural Networks in High Assurance Systems
Publicado: (2010) -
Computational Intelligence in Integrated Airline Scheduling
por: Grosche, Tobias
Publicado: (2009) -
Enhancing Cognitive Assistance Systems with Inertial Measurement Units
por: Guenthner, Wolfgang
Publicado: (2008) -
Computational Intelligence in Automotive Applications
Publicado: (2008)