Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Wengang Zhang, Yanmei Zhang, Xin Gu, Chongzhi Wu, Liang Han (Autoren)

Buch | Softcover

138 Seiten

2022 | 1st ed. 2022
Springer Verlag, Singapore
978-981-16-6837-1 (ISBN)

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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 solvingcritical problems of civil engineering.

ZHANG Wengang PhD, Professor, Associate Chair at School of Civil Engineering, Chongqing University. He got his PhD at Nanyang Technological University (NTU), Singapore in 2014. AWARDS Computers and Geotechnics 2019 Sloan Outstanding Paper Award Chongqing Science and Technology Award, First Prize in Natural Science (5/5) Overseas High-level Talents (Young Thousand Talented Professor) Leader of Academia & Technology in Chongqing (The 3rd Batch)

Introduction.- Methods.- Applications.- Future Applications.

Erscheinungsdatum	18.10.2022
Zusatzinfo	66 Illustrations, color; 10 Illustrations, black and white; XIV, 138 p. 76 illus., 66 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Naturwissenschaften ► Geowissenschaften ► Meteorologie / Klimatologie
	Technik ► Bauwesen
ISBN-10	981-16-6837-X / 981166837X
ISBN-13	978-981-16-6837-1 / 9789811668371
Zustand	Neuware