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Intelligent and Soft Computing in Infrastructure Systems Engineering - Recent Advances (Paperback, 2010 ed.) Loot Price: R4,360
Discovery Miles 43 600
Intelligent and Soft Computing in Infrastructure Systems Engineering - Recent Advances (Paperback, 2010 ed.): Kasthurirangan...

Intelligent and Soft Computing in Infrastructure Systems Engineering - Recent Advances (Paperback, 2010 ed.)

Kasthurirangan Gopalakrishnan, Halil Ceylan, Nii O.Attoh- Okine

Series: Studies in Computational Intelligence, 259

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Loot Price R4,360 Discovery Miles 43 600 | Repayment Terms: R409 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 259
Release date: March 2012
First published: March 2012
Editors: Kasthurirangan Gopalakrishnan • Halil Ceylan • Nii O.Attoh- Okine
Dimensions: 235 x 155 x 17mm (L x W x T)
Format: Paperback
Pages: 325
Edition: 2010 ed.
ISBN-13: 978-3-642-26150-3
Categories: Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Earth & environment > Earth sciences > Meteorology > General
Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-26150-7
Barcode: 9783642261503

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