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Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience

Record Type:	Electronic resources : Monograph/item
Title/Author:	Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscienceby Wengang Zhang ... [et al.].
other author:	Zhang, Wengang.
Published:	Singapore :Springer Singapore :2022.
Description:	xiv, 138 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Earth sciencesData processing.
Online resource:	https://doi.org/10.1007/978-981-16-6835-7
ISBN:	9789811668357$q(electronic bk.)

Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience
Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience[electronic resource] /by Wengang Zhang ... [et al.]. - Singapore :Springer Singapore :2022. - xiv, 138 p. :ill., digital ;24 cm.

Introduction -- Methods -- Applications -- Future Applications.

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.

ISBN: 9789811668357$q(electronic bk.)

Standard No.: 10.1007/978-981-16-6835-7doiSubjects--Topical Terms:

339540
Earth sciences
--Data processing.

LC Class. No.: QE48.8

Dewey Class. No.: 550

Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience
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300 $a xiv, 138 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Methods -- Applications -- Future Applications.
520 $a 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.
650 0 $a Earth sciences $x Data processing. $3 339540
650 0 $a Geotechnical engineering $x Data processing. $3 917551
650 0 $a Soft computing. $3 182083
650 0 $a Machine learning. $3 188639
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