Intelligent and Soft Computing in Infrastructure Systems Engineering : Recent Advances
The use of intelligent and soft computing techniques in the field of geomechanical and pavement engineering has steadily increased over the past decade owing to their ability to admit approximate reasoning, imprecision, uncertainty and partial truth. Since real-life infrastructure engineering decisi...
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| Auteur principal: | |
|---|---|
| Autres auteurs: | , , , , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2009. |
| Collection: | Studies in Computational Intelligence
259 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Intelligent and soft computing in infrastructure systems engineering, recent advances, Kasthurirangan Gopalakrishnan, Halil Ceylan, and Nii O. Attoh-Okine, eds., Berlin, Springer-Verlag, 2009, 1 vol. (x-323 p.), Studies in computational intelligence, 978-3-642-04585-1 • Intelligent and Soft Computing in Infrastructure Systems Engineering, Texte imprimé, 9783642046025 • Intelligent and soft computing in infrastructure systems engineering, recent advances, Kasthurirangan Gopalakrishnan, Halil Ceylan, and Nii O. Attoh-Okine, eds., Berlin, Springer-Verlag, 2009, 1 vol. (x-323 p.), Studies in computational intelligence, 978-3-642-04585-1 • Intelligent and Soft Computing in Infrastructure Systems Engineering, Texte imprimé, 9783642261503 |
Table des matières:
- Rapid Interpretation of Nondestructive Testing Results Using Neural Networks Probabilistic Inversion: A New Approach to Inversion Problems in Pavement and Geomechanical Engineering Neural Networks Application in Pavement Infrastructure Materials Backcalculation of Flexible Pavements Using Soft Computing Knowledge Discovery and Data Mining Using Artificial Intelligence to Unravel Porous Asphalt Concrete in the Netherlands Backcalculation of Pavement Layer Thickness and Moduli Using Adaptive Neuro-fuzzy Inference System Case Studies of Asphalt Pavement Analysis/Design with Application of the Genetic Algorithm Extended Kalman Filter and Its Application in Pavement Engineering Hybrid Stochastic Global Optimization Scheme for Rapid Pavement Backcalculation Regression and Artificial Neural Network Modeling of Resilient Modulus of Subgrade Soils for Pavement Design Applications Application of Soft Computing Techniques to Expansive Soil Characterization