The Resource Intelligent and Soft Computing in Infrastructure Systems Engineering : Recent Advances, edited by Kasthurirangan Gopalakrishnan, Halil Ceylan, Nii O. Attoh-Okine, (electronic resource)

Intelligent and Soft Computing in Infrastructure Systems Engineering : Recent Advances, edited by Kasthurirangan Gopalakrishnan, Halil Ceylan, Nii O. Attoh-Okine, (electronic resource)

Label
Intelligent and Soft Computing in Infrastructure Systems Engineering : Recent Advances
Title
Intelligent and Soft Computing in Infrastructure Systems Engineering
Title remainder
Recent Advances
Statement of responsibility
edited by Kasthurirangan Gopalakrishnan, Halil Ceylan, Nii O. Attoh-Okine
Creator
Contributor
Editor
Provider
Subject
Language
eng
Summary
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
Member of
http://library.link/vocab/creatorName
Gopalakrishnan, Kasthurirangan
Image bit depth
0
LC call number
  • TA329-348
  • TA640-643
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Ceylan, Halil.
  • Attoh-Okine, Nii O.
  • SpringerLink
Series statement
Studies in Computational Intelligence,
Series volume
259
http://library.link/vocab/subjectName
  • Engineering
  • Artificial intelligence
  • Engineering mathematics
  • Engineering economy
  • Engineering
  • Appl.Mathematics/Computational Methods of Engineering
  • Artificial Intelligence (incl. Robotics)
  • Engineering Economics, Organization, Logistics, Marketing
Label
Intelligent and Soft Computing in Infrastructure Systems Engineering : Recent Advances, edited by Kasthurirangan Gopalakrishnan, Halil Ceylan, Nii O. Attoh-Okine, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
File format
multiple file formats
Form of item
electronic
Isbn
9783642045868
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-642-04586-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-642-04586-8
Label
Intelligent and Soft Computing in Infrastructure Systems Engineering : Recent Advances, edited by Kasthurirangan Gopalakrishnan, Halil Ceylan, Nii O. Attoh-Okine, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
File format
multiple file formats
Form of item
electronic
Isbn
9783642045868
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-642-04586-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-642-04586-8

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