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

Wengang Zhang

ISBN 10: 9811668345 / ISBN 13: 9789811668340

Published by Springer Nature Singapore, Springer Nature Singapore Okt 2021, 2021

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch.

Seller Inventory # 9789811668340

Bibliographic Details

• Title: Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
• Publisher: Springer Nature Singapore, Springer Nature Singapore Okt 2021
• Publication Date: 2021
• Language: English
• ISBN 10: 9811668345
• ISBN 13: 9789811668340
• Binding: Buch
• Condition: Neu

About this title

Synopsis

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.

About the Author

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 3^rd Batch)