Skip to main content

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

  • Book
  • © 2022

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

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

Keywords

About this book

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.


Authors and Affiliations

  • School of Civil Engineering, Chongqing University, Chongqing, China

    Wengang Zhang, Xin Gu, Chongzhi Wu, Liang Han

  • College of Aerospace Engineering, Chongqing University, Chongqing, China

    Yanmei Zhang

About the authors

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)          

 

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

Publish with us