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Application of soft computing, machi...

Zhang, Wengang.

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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 geoscience/ by Wengang Zhang ... [et al.].
other author:	Zhang, Wengang.
Published:	Singapore :Springer Singapore : : 2022.,
Description:	xiv, 138 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Methods -- Applications -- Future Applications.
Contained By:	Springer Nature eBook
Subject:	Earth sciences - Data processing. -
Online resource:	https://doi.org/10.1007/978-981-16-6835-7
ISBN:	9789811668357

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

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

544097
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 544097
650 0 $a Geotechnical engineering $x Data processing. $3 3590263
650 0 $a Soft computing. $3 563033
650 0 $a Machine learning. $3 533906
650 1 4 $a Geoengineering, Foundations, Hydraulics. $3 1001783
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Civil Engineering. $3 891037
700 1 $a Zhang, Wengang. $3 3442641
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856 4 0 $u https://doi.org/10.1007/978-981-16-6835-7
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