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Robotic Welding, Intelligence and Automation = RWIA’2014 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Robotic Welding, Intelligence and Automation/ edited by Tzyh-Jong Tarn, Shan-Ben Chen, Xiao-Qi Chen.
其他題名:	RWIA’2014 /
其他作者:	Tarn, Tzyh-Jong.
面頁冊數:	XII, 640 p. 455 illus., 52 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	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 /
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