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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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Application of soft computing, machine learning, deep learning and optimizations in geoengineering and geoscience/ by Wengang Zhang ... [et al.].
其他作者:	Zhang, Wengang.
出版者:	Singapore :Springer Singapore : : 2022.,
面頁冊數:	xiv, 138 p. :ill., digital ;24 cm.
內容註:	Introduction -- Methods -- Applications -- Future Applications.
Contained By:	Springer Nature eBook
標題:	Earth sciences - Data processing. -
電子資源:	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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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.
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