Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Interdisciplinary Evolution of the M...
~
Cai, Hengjin.
Interdisciplinary Evolution of the Machine Brain = Vision, Touch & Mind /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Interdisciplinary Evolution of the Machine Brain / by Wenfeng Wang, Hengjin Cai, Xiangyang Deng, Chenguang Lu, Limin Zhang.
Reminder of title:
Vision, Touch & Mind /
Author:
Wang, Wenfeng.
other author:
Cai, Hengjin.
Description:
XII, 145 p. 57 illus., 45 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-981-33-4244-6
ISBN:
9789813342446
Interdisciplinary Evolution of the Machine Brain = Vision, Touch & Mind /
Wang, Wenfeng.
Interdisciplinary Evolution of the Machine Brain
Vision, Touch & Mind /[electronic resource] :by Wenfeng Wang, Hengjin Cai, Xiangyang Deng, Chenguang Lu, Limin Zhang. - 1st ed. 2021. - XII, 145 p. 57 illus., 45 illus. in color.online resource. - Research on Intelligent Manufacturing,2523-3394. - Research on Intelligent Manufacturing,.
Data-driven Approach in Machine Learning -- Environments Monitoring and Understanding -- Process-based Perception to the Environments -- Intelligent Manufacturing for the Implementation -- Reconciled Interpretation of Vison, Touch & Minds -- Expanded Insights into the Evolution of Machine Brain.
This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.
ISBN: 9789813342446
Standard No.: 10.1007/978-981-33-4244-6doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Interdisciplinary Evolution of the Machine Brain = Vision, Touch & Mind /
LDR
:02703nam a22004095i 4500
001
1051640
003
DE-He213
005
20211013191556.0
007
cr nn 008mamaa
008
220103s2021 si | s |||| 0|eng d
020
$a
9789813342446
$9
978-981-33-4244-6
024
7
$a
10.1007/978-981-33-4244-6
$2
doi
035
$a
978-981-33-4244-6
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Wang, Wenfeng.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1326671
245
1 0
$a
Interdisciplinary Evolution of the Machine Brain
$h
[electronic resource] :
$b
Vision, Touch & Mind /
$c
by Wenfeng Wang, Hengjin Cai, Xiangyang Deng, Chenguang Lu, Limin Zhang.
250
$a
1st ed. 2021.
264
1
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2021.
300
$a
XII, 145 p. 57 illus., 45 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
490
1
$a
Research on Intelligent Manufacturing,
$x
2523-3394
505
0
$a
Data-driven Approach in Machine Learning -- Environments Monitoring and Understanding -- Process-based Perception to the Environments -- Intelligent Manufacturing for the Implementation -- Reconciled Interpretation of Vison, Touch & Minds -- Expanded Insights into the Evolution of Machine Brain.
520
$a
This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Robotics.
$3
561941
650
0
$a
Automation.
$3
596698
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Robotics and Automation.
$3
782979
700
1
$a
Cai, Hengjin.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1356162
700
1
$a
Deng, Xiangyang.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1326672
700
1
$a
Lu, Chenguang.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1356163
700
1
$a
Zhang, Limin.
$e
editor.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1315043
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9789813342439
776
0 8
$i
Printed edition:
$z
9789813342453
776
0 8
$i
Printed edition:
$z
9789813342460
830
0
$a
Research on Intelligent Manufacturing,
$x
2523-3386
$3
1286204
856
4 0
$u
https://doi.org/10.1007/978-981-33-4244-6
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login