Overview
The first book available on Application of Soft Computing, Machine Learning
Advanced applications of hot topics of SC,ML,DL and optimizations
A summary of Machine learning algorithms as well as example applications
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Table of contents (10 chapters)
Keywords
About this book
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.
Authors and Affiliations
About the authors
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)Bibliographic Information
Book Title: Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
Authors: Wengang Zhang, Yanmei Zhang, Xin Gu, Chongzhi Wu, Liang Han
DOI: https://doi.org/10.1007/978-981-16-6835-7
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-6834-0Published: 13 October 2021
Softcover ISBN: 978-981-16-6837-1Published: 14 October 2022
eBook ISBN: 978-981-16-6835-7Published: 12 October 2021
Edition Number: 1
Number of Pages: XIV, 138
Number of Illustrations: 10 b/w illustrations, 66 illustrations in colour
Topics: Geoengineering, Foundations, Hydraulics, Artificial Intelligence, Civil Engineering