Intelligent and Soft Computing in Infrastructure Systems Engineering: Recent Advances

Author:   Kasthurirangan Gopalakrishnan ,  Halil Ceylan ,  Nii O. Attoh-Okine
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2010 ed.
Volume:   259
ISBN:  

9783642045851


Pages:   325
Publication Date:   19 November 2009
Format:   Hardback
Availability:   Awaiting stock   Availability explained
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Intelligent and Soft Computing in Infrastructure Systems Engineering: Recent Advances


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Overview

The term “soft computing” applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and Bayesian statistics. Although each one has its separate strengths, the complem- tary nature of these techniques when used in combination (hybrid) makes them a powerful alternative for solving complex problems where conventional mat- matical methods fail. The use of intelligent and soft computing techniques in the field of geo- chanical 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 decisions are made in ambiguous environments that require human expertise, the application of soft computing techniques has been an attractive option in pavement and geomecha- cal modeling. The objective of this carefully edited book is to highlight key recent advances made in the application of soft computing techniques in pavement and geo- chanical systems. Soft computing techniques discussed in this book include, but are not limited to: neural networks, evolutionary computing, swarm intelligence, probabilistic modeling, kernel machines, knowledge discovery and data mining, neuro-fuzzy systems and hybrid approaches. Highlighted application areas include infrastructure materials modeling, pavement analysis and design, rapid interpre- tion of nondestructive testing results, porous asphalt concrete distress modeling, model parameter identification, pavement engineering inversion problems, s- grade soils characterization, and backcalculation of pavement layer thickness and moduli.

Full Product Details

Author:   Kasthurirangan Gopalakrishnan ,  Halil Ceylan ,  Nii O. Attoh-Okine
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2010 ed.
Volume:   259
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   1.430kg
ISBN:  

9783642045851


ISBN 10:   3642045855
Pages:   325
Publication Date:   19 November 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

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