| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 杜威分類號: |
620.00285/63 |
| 書名/作者: |
Artificial Intelligence and machine learning applications in civil, mechanical, and industrial engineering/ Gebrail Bekdas, Sinan Melih Nigdeli, and Melda Yucel, editors. |
| 其他作者: |
Bekdas, Gebrail, |
| 出版者: |
Hershey, Pennsylvania : : IGI Global,, 2019. |
| 面頁冊數: |
1 online resource (xvi, 312 p.) |
| 標題: |
Artificial intelligence. |
| 標題: |
Civil engineering - Data processing. |
| 標題: |
Machine learning. |
| 標題: |
Mechanical engineering - Data processing. |
| 標題: |
Industrial engineering - Data processing. |
| ISBN: |
9781799803034 (ebk.) |
| ISBN: |
9781799803010 (hbk.) |
| ISBN: |
9781799803027 (pbk.) |
| 書目註: |
Includes bibliographical references and index. |
| 內容註: |
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. |
| 摘要、提要註: |
"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"-- |
| 電子資源: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-0301-0 |