Advances in Computational Intelligence in Geotechnical and Geological Engineering
This is a groundbreaking reprint that explores the cutting-edge applications of computational intelligence (CI) in geotechnical and geological engineering. This comprehensive volume draws from the latest research and developments in the field, presenting innovative solutions to complex real-world pr...
Sparad:
| Materialtyp: | Online |
|---|---|
| Språk: | engelska |
| Utgiven: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
|
| Ämnen: | |
| Länkar: | ONIX_20250220_9783725823550_234 |
| Taggar: |
Inga taggar, Lägg till första taggen!
|
| _version_ | 1869520247268048896 |
|---|---|
| collection | Directory of Open Access Books |
| description | This is a groundbreaking reprint that explores the cutting-edge applications of computational intelligence (CI) in geotechnical and geological engineering. This comprehensive volume draws from the latest research and developments in the field, presenting innovative solutions to complex real-world problems using artificial neural networks, fuzzy logic, evolutionary algorithms, and other CI techniques. The reprint covers a wide range of topics, including soil mechanics, rock mechanics, and foundation engineering. It features in-depth case studies that demonstrate the practical applications of CI in solving challenging geotechnical issues, as well as explores the hybrid CI models that combine multiple techniques for enhanced performance. The reprint also delves into the integration of CI-based, risk-based, and reliability-based techniques with basic theories and concepts in geotechnics and geomechanics. By bridging the gap between traditional geotechnical engineering practices and advanced CI techniques, this reprint paves the way for more efficient, accurate, and innovative solutions in geotechnical engineering. The reprint not only presents the current state-of-the-art CI applications for geotechnical engineering but also provides insights into the future directions and potential advancements. It explores how CI can be applied to the various aspects of geotechnical engineering. This comprehensive approach makes it an essential read for anyone interested in the intersection of CI and geotechnical engineering, offering a broad perspective on the potential of CI to revolutionize the field. |
| format | Online |
| id | doab-20.500.12854ir-152870 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1528702025-02-20T13:12:15Z Advances in Computational Intelligence in Geotechnical and Geological Engineering Armaghani, Danial Jahed Khabbaz, Hadi Khandelwal, Manoj Shahani, Niaz Muhammad Bhatawdekar, Ramesh Murlidhar Computational Intelligence Geological Engineering Geotechnical engineering thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science This is a groundbreaking reprint that explores the cutting-edge applications of computational intelligence (CI) in geotechnical and geological engineering. This comprehensive volume draws from the latest research and developments in the field, presenting innovative solutions to complex real-world problems using artificial neural networks, fuzzy logic, evolutionary algorithms, and other CI techniques. The reprint covers a wide range of topics, including soil mechanics, rock mechanics, and foundation engineering. It features in-depth case studies that demonstrate the practical applications of CI in solving challenging geotechnical issues, as well as explores the hybrid CI models that combine multiple techniques for enhanced performance. The reprint also delves into the integration of CI-based, risk-based, and reliability-based techniques with basic theories and concepts in geotechnics and geomechanics. By bridging the gap between traditional geotechnical engineering practices and advanced CI techniques, this reprint paves the way for more efficient, accurate, and innovative solutions in geotechnical engineering. The reprint not only presents the current state-of-the-art CI applications for geotechnical engineering but also provides insights into the future directions and potential advancements. It explores how CI can be applied to the various aspects of geotechnical engineering. This comprehensive approach makes it an essential read for anyone interested in the intersection of CI and geotechnical engineering, offering a broad perspective on the potential of CI to revolutionize the field. 2025-02-20T13:12:12Z 2025-02-20T13:12:12Z 2024 book ONIX_20250220_9783725823550_234 9783725823550 9783725823567 https://directory.doabooks.org/handle/20.500.12854/152870 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10182 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2356-7 10.3390/books978-3-7258-2356-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725823550 9783725823567 274 Basel open access |
| spellingShingle | Computational Intelligence Geological Engineering Geotechnical engineering thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science Advances in Computational Intelligence in Geotechnical and Geological Engineering |
| title | Advances in Computational Intelligence in Geotechnical and Geological Engineering |
| title_full | Advances in Computational Intelligence in Geotechnical and Geological Engineering |
| title_fullStr | Advances in Computational Intelligence in Geotechnical and Geological Engineering |
| title_full_unstemmed | Advances in Computational Intelligence in Geotechnical and Geological Engineering |
| title_short | Advances in Computational Intelligence in Geotechnical and Geological Engineering |
| title_sort | advances in computational intelligence in geotechnical and geological engineering |
| topic | Computational Intelligence Geological Engineering Geotechnical engineering thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science |
| topic_facet | Computational Intelligence Geological Engineering Geotechnical engineering thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology thema EDItEUR::P Mathematics and Science |
| url | ONIX_20250220_9783725823550_234 |