Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience/ by Wengang Zhang, Yanmei Zhang, Xin Gu, Chongzhi Wu, Liang Han.
Author:
Zhang, Wengang.
other author:
Han, Liang.
Description:
XIV, 138 p. 76 illus., 66 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Civil Engineering. -
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
Zhang, Wengang.
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
[electronic resource] /by Wengang Zhang, Yanmei Zhang, Xin Gu, Chongzhi Wu, Liang Han. - 1st ed. 2022. - XIV, 138 p. 76 illus., 66 illus. in color.online resource.
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:
669250
Civil Engineering.
LC Class. No.: TA703-705.4
Dewey Class. No.: 624.15
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
LDR
:02511nam a22003975i 4500
001
1089992
003
DE-He213
005
20220502084217.0
007
cr nn 008mamaa
008
221228s2022 si | s |||| 0|eng d
020
$a
9789811668357
$9
978-981-16-6835-7
024
7
$a
10.1007/978-981-16-6835-7
$2
doi
035
$a
978-981-16-6835-7
050
4
$a
TA703-705.4
072
7
$a
TNC
$2
bicssc
072
7
$a
SCI042000
$2
bisacsh
072
7
$a
TNC
$2
thema
082
0 4
$a
624.15
$2
23
100
1
$a
Zhang, Wengang.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1321288
245
1 0
$a
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
$h
[electronic resource] /
$c
by Wengang Zhang, Yanmei Zhang, Xin Gu, Chongzhi Wu, Liang Han.
250
$a
1st ed. 2022.
264
1
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2022.
300
$a
XIV, 138 p. 76 illus., 66 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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
2 4
$a
Civil Engineering.
$3
669250
650
2 4
$a
Artificial Intelligence.
$3
646849
650
1 4
$a
Geoengineering.
$3
1365755
650
0
$a
Civil engineering.
$3
561339
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Engineering geology.
$3
558458
700
1
$a
Han, Liang.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1397319
700
1
$a
Wu, Chongzhi.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1397318
700
1
$a
Gu, Xin.
$e
editor.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1323770
700
1
$a
Zhang, Yanmei.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1397317
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789811668340
776
0 8
$i
Printed edition:
$z
9789811668364
776
0 8
$i
Printed edition:
$z
9789811668371
856
4 0
$u
https://doi.org/10.1007/978-981-16-6835-7
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login