Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience / / by Wengang Zhang, Yanmei Zhang, Xin Gu, Chongzhi Wu, Liang Han
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| Autore: |
Zhang Wen'gang
|
| Titolo: |
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience / / by Wengang Zhang, Yanmei Zhang, Xin Gu, Chongzhi Wu, Liang Han
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (143 pages) |
| Disciplina: | 550.2855133 |
| Soggetto topico: | Engineering geology |
| Artificial intelligence | |
| Civil engineering | |
| Geoengineering | |
| Artificial Intelligence | |
| Civil Engineering | |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | Introduction -- Methods -- Applications -- Future Applications. |
| Sommario/riassunto: | This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience. Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience. Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solving critical problems of civil engineering. |
| Titolo autorizzato: | Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience |
| ISBN: | 981-16-6834-5 |
| 981-16-6835-3 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910743396403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Engineering Series