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

Zhang, Wengang; Zhang, Yanmei; Gu, Xin; Wu, Chongzhi; Han, Liang

 
9789811668371: Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
Brossura
ISBN 10: 981166837X ISBN 13: 9789811668371
Casa editrice: Springer Nature, 2022

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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)          

 

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
981166837X
ISBN 13 
9789811668371
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
152
Contatto del produttore
Springer Nature Customer Service Center GmbH
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Altre edizioni note dello stesso titolo

9789811668340: Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

Edizione in evidenza

ISBN 10:  9811668345 ISBN 13:  9789811668340
Casa editrice: Springer Nature, 2021
Rilegato