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Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
Hoofdkenmerken
Auteur: Wengang Zhang; Yanmei Zhang; Xin Gu; Chongzhi Wu; Liang Han
Titel: Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
Uitgever: Springer Nature
ISBN: 9789811668357
ISBN boekversie: 9789811668340
Prijs: € 179.84
Verschijningsdatum: 12-10-2021
Inhoudelijke kenmerken
Categorie: Intelligence (AI) & Semantics
Taal: English
Imprint: Springer
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

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.
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