Artificial Neural Networks in Vehicular Pollution Modelling

• Κύριοι συγγραφείς: Khare, Mukesh (Συγγραφέας), Nagendra, S. M. Shiva (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Σειρά: Studies in Computational Intelligence, 41
• Θέματα: 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...

Πίνακας περιεχομένων:

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