Coverart for item
The Resource Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering, [edited by] Gebrail Bekdas, Sinan Melih Nigdeli, Melda Yucel

Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering, [edited by] Gebrail Bekdas, Sinan Melih Nigdeli, Melda Yucel

Label
Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering
Title
Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering
Statement of responsibility
[edited by] Gebrail Bekdas, Sinan Melih Nigdeli, Melda Yucel
Contributor
Editor
Publisher
Subject
Language
eng
Summary
"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--
Member of
Assigning source
Provided by publisher
Cataloging source
IGIGL
Dewey number
620.00285/63
Index
index present
LC call number
TA347.A78
LC item number
A79 2020
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1980-
  • 1982-
  • 1995-
http://library.link/vocab/relatedWorkOrContributorName
  • Bekdas, Gebrail
  • Nigdeli, Sinan Melih
  • Yucel, Melda
  • IGI Global
Series statement
Advances in computational intelligence and robotics ACIR book series
http://library.link/vocab/subjectName
  • Artificial intelligence
  • Civil engineering
  • Machine learning
  • Mechanical engineering
  • Industrial engineering
Target audience
  • adult
  • specialized
Label
Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering, [edited by] Gebrail Bekdas, Sinan Melih Nigdeli, Melda Yucel
Instantiates
Publication
Note
"Premier reference source"
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1. Review and applications of machine learning and artificial intelligence in engineering: overview for machine learning and AI -- Chapter 2. Artificial neural networks (anns) and solution of civil engineering problems: anns and prediction applications -- Chapter 3. A novel prediction perspective to the bending over sheave fatigue lifetime of steel wire ropes by means of artificial neural networks -- Chapter 4. Introduction and application aspects of machine learning for model reference adaptive control with polynomial neurons -- Chapter 5. Optimum design of carbon fiber-reinforced polymer (CFRP) beams for shear capacity via machine learning methods: optimum prediction methods on advance ensemble algorithms bagging combinations -- Chapter 6. A scientometric analysis and a review on current literature of computer vision applications -- Chapter 7. High performance concrete (HPC) compressive strength prediction with advanced machine learning methods: combinations of machine learning algorithms with bagging, rotation forest, and additive regression -- Chapter 8. Artificial intelligence towards water conservation: approaches, challenges, and opportunities -- Chapter 9. Analysis of ground water quality using statistical techniques: a case study of Madurai City -- Chapter 10. Probe people and vehicle-based data sources application in smart transportation -- Chapter 11. Application of machine learning methods for passenger demand prediction in transfer stations of Istanbul's public transportation system -- Chapter 12. Metaheuristics approaches to solve the employee bus routing problem with clustering-based bus stop selection -- Chapter 13. An assessment of imbalanced control chart pattern recognition by artificial neural networks -- Chapter 14. An exploration of machine learning methods for biometric identification based on keystroke dynamics
Dimensions
unknown
Extent
1 online resource (21 PDFs (311 pages))
File format
multiple file formats
Form of item
online
Isbn
9781799803034
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.4018/978-1-7998-0301-0
Reformatting quality
access
Specific material designation
remote
System control number
  • on1120756508
  • (OCoLC)1120756508
Label
Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering, [edited by] Gebrail Bekdas, Sinan Melih Nigdeli, Melda Yucel
Publication
Note
"Premier reference source"
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1. Review and applications of machine learning and artificial intelligence in engineering: overview for machine learning and AI -- Chapter 2. Artificial neural networks (anns) and solution of civil engineering problems: anns and prediction applications -- Chapter 3. A novel prediction perspective to the bending over sheave fatigue lifetime of steel wire ropes by means of artificial neural networks -- Chapter 4. Introduction and application aspects of machine learning for model reference adaptive control with polynomial neurons -- Chapter 5. Optimum design of carbon fiber-reinforced polymer (CFRP) beams for shear capacity via machine learning methods: optimum prediction methods on advance ensemble algorithms bagging combinations -- Chapter 6. A scientometric analysis and a review on current literature of computer vision applications -- Chapter 7. High performance concrete (HPC) compressive strength prediction with advanced machine learning methods: combinations of machine learning algorithms with bagging, rotation forest, and additive regression -- Chapter 8. Artificial intelligence towards water conservation: approaches, challenges, and opportunities -- Chapter 9. Analysis of ground water quality using statistical techniques: a case study of Madurai City -- Chapter 10. Probe people and vehicle-based data sources application in smart transportation -- Chapter 11. Application of machine learning methods for passenger demand prediction in transfer stations of Istanbul's public transportation system -- Chapter 12. Metaheuristics approaches to solve the employee bus routing problem with clustering-based bus stop selection -- Chapter 13. An assessment of imbalanced control chart pattern recognition by artificial neural networks -- Chapter 14. An exploration of machine learning methods for biometric identification based on keystroke dynamics
Dimensions
unknown
Extent
1 online resource (21 PDFs (311 pages))
File format
multiple file formats
Form of item
online
Isbn
9781799803034
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.4018/978-1-7998-0301-0
Reformatting quality
access
Specific material designation
remote
System control number
  • on1120756508
  • (OCoLC)1120756508

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