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Intelligent and Soft Computing in Infrastructure Systems Engineering, Gebunden
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2009, ISBN: 3642045855

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 … mais…

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Intelligent and Soft Computing in Infrastructure Systems Engineering Recent Adva - Gopalakrishnan, Kasthurirangan, Halil Ceylan  und Nii O. Attoh-O
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2009, ISBN: 3642045855

Neubindung, 1. Auflage 2009, Buchschnitt leicht verkürzt 5945241/12. Verlag / Jahr. Unser Preis. von Gopalakrishnan, Kasthurirangan, Halil Ceylan und Nii O. Attoh-Okine Gopalakrishnan, Ka… mais…

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Intelligent and Soft Computing in Infrastructure Systems Engineering | Recent Advances | Kasthurirangan Gopalakrishnan (u. a.) | Buch | X | Englisch | 2009 | Springer | EAN 9783642045851 - Gopalakrishnan, Kasthurirangan
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Gopalakrishnan, Kasthurirangan:
Intelligent and Soft Computing in Infrastructure Systems Engineering | Recent Advances | Kasthurirangan Gopalakrishnan (u. a.) | Buch | X | Englisch | 2009 | Springer | EAN 9783642045851 - nuovo livro

2009

ISBN: 9783642045851

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Intelligent and Soft Computing in Infrastructure Systems Engineering - Livro de bolso

2010, ISBN: 9783642045851

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Intelligent and Soft Computing in Infrastructure Systems Engineering Recent Advances - Gopalakrishnan, Kasthurirangan, Halil Ceylan  und Nii O. Attoh-Okine
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Gopalakrishnan, Kasthurirangan, Halil Ceylan und Nii O. Attoh-Okine:
Intelligent and Soft Computing in Infrastructure Systems Engineering Recent Advances - primeira edição

2009, ISBN: 9783642045851

[PU: Springer Berlin], Neubindung, 1. Auflage 2009, Buchschnitt leicht verkürzt 5945241/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 2010, Kreditkarte, PayPal, Sofortübe… mais…

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Intelligent and Soft Computing in Infrastructure Systems Engineering

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 decisions are made in ambiguous environments that require human expertise, the application of soft computing techniques has been an attractive option in pavement and geomechanical 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 geomechanical 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 interpretation of nondestructive testing results, porous asphalt concrete distress modeling, model parameter identification, pavement engineering inversion problems, subgrade soils characterization, and backcalculation of pavement layer thickness and moduli. Researchers and practitioners engaged in developing and applying soft computing and intelligent systems principles to solving real-world infrastructure engineering problems will find this book very useful. This book will also serve as an excellent state-of-the-art reference material for graduate and postgraduate students in transportation infrastructure engineering.

Dados detalhados do livro - Intelligent and Soft Computing in Infrastructure Systems Engineering


EAN (ISBN-13): 9783642045851
ISBN (ISBN-10): 3642045855
Livro de capa dura
Livro de bolso
Ano de publicação: 2009
Editor/Editora: Springer Berlin
323 Páginas
Peso: 0,633 kg
Língua: eng/Englisch

Livro na base de dados desde 2008-06-13T20:30:24-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-03-10T12:06:01-03:00 (Sao Paulo)
Número ISBN/EAN: 3642045855

Número ISBN - Ortografia alternativa:
3-642-04585-5, 978-3-642-04585-1
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: halil, gopalakrishnan, ceylan, okin
Título do livro: systems engineering, soft computing, recent advances, studies computational intelligence, soft need, infrastructure, intelligent, 259


Dados da editora

Autor: Kasthurirangan Gopalakrishnan; Halil Ceylan; Nii O. Attoh-Okine
Título: Studies in Computational Intelligence; Intelligent and Soft Computing in Infrastructure Systems Engineering - Recent Advances
Editora: Springer; Springer Berlin
325 Páginas
Ano de publicação: 2009-11-19
Berlin; Heidelberg; DE
Impresso / Feito em
Língua: Inglês
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
X, 325 p.

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Racter; data mining; evolution; evolutionary computation; fuzzy system; kernel; knowledge; knowledge discovery; modeling; neural network; swarm intelligence; Engineering Economics; Artificial Intelligence; Building Construction and Design; Geoengineering; Mathematical and Computational Engineering Applications; Industrial Management; Hochbau und Baustoffe; Konstruktiver Ingenieurbau, Baustatik; Mathematik für Ingenieure; Ingenieurswesen, Maschinenbau allgemein; Management und Managementtechniken; EA; BC

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.
State of the art of intelligent and soft computing in infrastructure systems engineering

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