東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Welding and cutting case studies wit...

Vendan, S. Arungalai.

Linked to FindBook

Google Book

Amazon

博客來

Welding and cutting case studies with supervised machine learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Welding and cutting case studies with supervised machine learning/ by S. Arungalai Vendan ... [et al.].
other author:	Vendan, S. Arungalai.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	ix, 249 p. :ill., digital ;24 cm.
[NT 15003449]:	Supervised machine learning in magnetically impelled arc butt welding (MIAB) -- Supervised machine learning in cold metal transfer (CMT) -- Supervised machine learning in friction stir welding (FSW) -- Supervised machine learning in wire cut electric discharge maching (WEDM) -- Appendix: coding in python, numpy, panda, scikit-learn used for analysis with emphasis on libraries.
Contained By:	Springer eBooks
Subject:	Welding - Case studies. - Mathematics -
Online resource:	https://doi.org/10.1007/978-981-13-9382-2
ISBN:	9789811393822

Welding and cutting case studies with supervised machine learning
Welding and cutting case studies with supervised machine learning[electronic resource] /by S. Arungalai Vendan ... [et al.]. - Singapore :Springer Singapore :2020. - ix, 249 p. :ill., digital ;24 cm. - Engineering applications of computational methods,v.12662-3366 ;. - Engineering applications of computational methods ;v.1..

Supervised machine learning in magnetically impelled arc butt welding (MIAB) -- Supervised machine learning in cold metal transfer (CMT) -- Supervised machine learning in friction stir welding (FSW) -- Supervised machine learning in wire cut electric discharge maching (WEDM) -- Appendix: coding in python, numpy, panda, scikit-learn used for analysis with emphasis on libraries.

This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses the parametrical interdependencies of two entities, namely the data analysis and data visualization techniques, which form the core of machine learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also includes case studies that employ machine learning for manufacturing processes in the engineering domain. The book not only provides beginners with an introduction to machine learning for applied sciences, enabling them to address global competitiveness and work on real-time technical challenges, it is also a valuable resource for scholars with domain knowledge.

ISBN: 9789811393822

Standard No.: 10.1007/978-981-13-9382-2doiSubjects--Topical Terms:

3524649
Welding
--Mathematics--Case studies.

LC Class. No.: TS227.2

Dewey Class. No.: 671.520151

Welding and cutting case studies with supervised machine learning
LDR:02389nmm a2200337 a 4500 001 2255224
003 DE-He213
005 20200928091558.0
006 m d
007 cr nn 008maaau
008 220419s2020 si s 0 eng d
020 $a 9789811393822 $q (electronic bk.)
020 $a 9789811393815 $q (paper)
024 7 $a 10.1007/978-981-13-9382-2 $2 doi
035 $a 978-981-13-9382-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TS227.2
072 7 $a TGP $2 bicssc
072 7 $a TEC020000 $2 bisacsh
072 7 $a TGP $2 thema
082 0 4 $a 671.520151 $2 23
090 $a TS227.2 $b .W445 2019
245 0 0 $a Welding and cutting case studies with supervised machine learning $h [electronic resource] / $c by S. Arungalai Vendan ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a ix, 249 p. : $b ill., digital ; $c 24 cm.
490 1 $a Engineering applications of computational methods, $x 2662-3366 ; $v v.1
505 0 $a Supervised machine learning in magnetically impelled arc butt welding (MIAB) -- Supervised machine learning in cold metal transfer (CMT) -- Supervised machine learning in friction stir welding (FSW) -- Supervised machine learning in wire cut electric discharge maching (WEDM) -- Appendix: coding in python, numpy, panda, scikit-learn used for analysis with emphasis on libraries.
520 $a This book presents machine learning as a set of pre-requisites, co-requisites, and post-requisites, focusing on mathematical concepts and engineering applications in advanced welding and cutting processes. It describes a number of advanced welding and cutting processes and then assesses the parametrical interdependencies of two entities, namely the data analysis and data visualization techniques, which form the core of machine learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also includes case studies that employ machine learning for manufacturing processes in the engineering domain. The book not only provides beginners with an introduction to machine learning for applied sciences, enabling them to address global competitiveness and work on real-time technical challenges, it is also a valuable resource for scholars with domain knowledge.
650 0 $a Welding $x Mathematics $v Case studies. $3 3524649
650 0 $a Machine learning. $3 533906
650 1 4 $a Manufacturing, Machines, Tools, Processes. $3 3381528
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Data Engineering. $3 3409361
650 2 4 $a Characterization and Evaluation of Materials. $3 890988
700 1 $a Vendan, S. Arungalai. $3 3378409
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Engineering applications of computational methods ; $v v.1. $3 3524648
856 4 0 $u https://doi.org/10.1007/978-981-13-9382-2
950 $a Engineering (Springer-11647)