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...
Đã lưu trong:
| Những tác giả chính: | , |
|---|---|
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Phiên bản: | 1st ed. 2007. |
| Loạt: | Studies in Computational Intelligence
41 |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Artificial Neural Networks in Vehicular Pollution Modelling, Texte imprimé, 9783540374176 |
Mục lục:
- Vehicular Pollution Artificial Neutral Networks Vehicular Pollution Modelling Conventional Aproach Vehicular Pollution Modelling -ANN Aproach Aplication of ANN based Vehicular Pollution Models Epilogue