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

Xin Gu, Liang Han, Yanmei Zhang, et al.

PDF
ca. 139,09
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer Singapore img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Bau- und Umwelttechnik

Beschreibung

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.

Weitere Titel von diesem Autor
Weitere Titel zum gleichen Preis
Cover Surface Mining Technology
Wael Rashad Elrawy Abdellah
Cover ICSDEMS 2019
Mokhtar Awang
Cover ICSCEA 2019
Anh Tuan Le
Cover ICACE 2019
Meor Razali Meor M Fared

Kundenbewertungen

Schlagwörter

Geoengineering, Deep Learning, Machine Learning, Geoscience, Geohazards, Soft Computing, Optimizations