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

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

EnglishHardbackPrint on demand
Zhang, Wengang
Springer Verlag, Singapore
EAN: 9789811668340
Print on demand
Delivery on Thursday, 7. of November 2024
€157.76
Common price €175.29
Discount 10%
pc
Do you want this product today?
Oxford Bookshop Banská Bystrica
not available
Oxford Bookshop Bratislava
not available
Oxford Bookshop Košice
not available

Detailed information

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.
EAN 9789811668340
ISBN 9811668345
Binding Hardback
Publisher Springer Verlag, Singapore
Publication date October 13, 2021
Pages 138
Language English
Dimensions 235 x 155
Country Singapore
Readership Professional & Scholarly
Authors Gu Xin; Han, Liang; Wu, Chongzhi; Zhang, Wengang; Zhang, Yanmei
Illustrations 66 Illustrations, color; 10 Illustrations, black and white; XIV, 138 p. 76 illus., 66 illus. in color.
Edition 1st ed. 2022