國立虎尾科技大學 |

Robotic Welding, Intelligence and Automation = RWIA’2014 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Robotic Welding, Intelligence and Automation/ edited by Tzyh-Jong Tarn, Shan-Ben Chen, Xiao-Qi Chen.
Reminder of title:	RWIA’2014 /
other author:	Tarn, Tzyh-Jong.
Description:	XII, 640 p. 455 illus., 52 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-319-18997-0
ISBN:	9783319189970

Robotic Welding, Intelligence and Automation = RWIA’2014 /
Robotic Welding, Intelligence and AutomationRWIA’2014 /[electronic resource] :edited by Tzyh-Jong Tarn, Shan-Ben Chen, Xiao-Qi Chen. - 1st ed. 2015. - XII, 640 p. 455 illus., 52 illus. in color.online resource. - Advances in Intelligent Systems and Computing,3632194-5357 ;. - Advances in Intelligent Systems and Computing,335.

Part 1: Intelligent Techniques for Robotic Welding -- Part 2: Sensing of Arc Welding Processing -- Part 3: Modeling and Intelligent Control of Welding Processing -- Part 4: Intelligent Control and its Applications in Engineering.

The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2014 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2014), held Oct. 25-27, 2014, at Shanghai, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering. .

ISBN: 9783319189970

Standard No.: 10.1007/978-3-319-18997-0doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Robotic Welding, Intelligence and Automation = RWIA’2014 /
LDR:02455nam a22003975i 4500 001 962953
003 DE-He213
005 20200701134608.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783319189970 $9 978-3-319-18997-0
024 7 $a 10.1007/978-3-319-18997-0 $2 doi
035 $a 978-3-319-18997-0
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
245 1 0 $a Robotic Welding, Intelligence and Automation $h [electronic resource] : $b RWIA’2014 / $c edited by Tzyh-Jong Tarn, Shan-Ben Chen, Xiao-Qi Chen.
250 $a 1st ed. 2015.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a XII, 640 p. 455 illus., 52 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 Advances in Intelligent Systems and Computing, $x 2194-5357 ; $v 363
505 0 $a Part 1: Intelligent Techniques for Robotic Welding -- Part 2: Sensing of Arc Welding Processing -- Part 3: Modeling and Intelligent Control of Welding Processing -- Part 4: Intelligent Control and its Applications in Engineering.
520 $a The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2014 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2014), held Oct. 25-27, 2014, at Shanghai, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering. .
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 Tarn, Tzyh-Jong. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 785882
700 1 $a Chen, Shan-Ben. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 785883
700 1 $a Chen, Xiao-Qi. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1067184
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319189963
776 0 8 $i Printed edition: $z 9783319189987
830 0 $a Advances in Intelligent Systems and Computing, $x 2194-5357 ; $v 335 $3 1253884
856 4 0 $u https://doi.org/10.1007/978-3-319-18997-0
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)