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



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Éditeur :

Springer


Paru le : 2021-10-12



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Description
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.

Pages
138 pages
Collection
n.c
Parution
2021-10-12
Marque
Springer
EAN papier
9789811668340
EAN PDF
9789811668357

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
5192 Ko
Prix
160,49 €
EAN EPUB
9789811668357

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
47319 Ko
Prix
160,49 €

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)          

 

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