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Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering/ Gebrail Bekdas, Sinan Melih Nigdeli, and Melda Yucel, editors.
other author:	Bekdas, Gebrail,
Published:	Hershey, Pennsylvania :IGI Global, : 2019.,
Description:	1 online resource (xvi, 312 p.)
Subject:	Artificial intelligence. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-0301-0
ISBN:	9781799803034 (ebk.)

Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering
Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering[electronic resource] /Gebrail Bekdas, Sinan Melih Nigdeli, and Melda Yucel, editors. - Hershey, Pennsylvania :IGI Global,2019. - 1 online resource (xvi, 312 p.)

Includes bibliographical references and index.

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.

"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--

ISBN: 9781799803034 (ebk.)Subjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: TA347.A78 / A79 2019

Dewey Class. No.: 620.00285/63

Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering
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300 $a 1 online resource (xvi, 312 p.)
504 $a Includes bibliographical references and index.
505 0 $a 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.
520 3 $a "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"-- $c Provided by publisher.
650 0 $a Artificial intelligence. $3 559380
650 0 $a Civil engineering $x Data processing. $3 671432
650 0 $a Machine learning. $3 561253
650 0 $a Mechanical engineering $x Data processing. $3 1090864
650 0 $a Industrial engineering $x Data processing. $3 882886
700 1 $a Bekdas, Gebrail, $d 1980- $e author. $3 1311501
700 1 $a Nigdeli, Sinan Melih, $d 1982- $e author. $3 1311502
700 1 $a Yucel, Melda, $d 1995- $3 1340887
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