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Modelling and optimisation of laser ...

Chaki, Sudipto.

Modelling and optimisation of laser assisted oxygen (LASOX) cuttinga soft computing based approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modelling and optimisation of laser assisted oxygen (LASOX) cuttingby Sudipto Chaki, Sujit Ghosal.
Reminder of title:	a soft computing based approach /
Author:	Chaki, Sudipto.
other author:	Ghosal, Sujit.
Published:	Cham : Springer International Publishing :Imprint: Springer,2019.
Description:	ix, 56 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Oxyacetylene welding and cutting.
Online resource:	https://doi.org/10.1007/978-3-030-04903-4
ISBN:	9783030049034$q(electronic bk.)

Modelling and optimisation of laser assisted oxygen (LASOX) cuttinga soft computing based approach /
Chaki, Sudipto.

Modelling and optimisation of laser assisted oxygen (LASOX) cuttinga soft computing based approach /[electronic resource] :by Sudipto Chaki, Sujit Ghosal. - Cham : Springer International Publishing :Imprint: Springer,2019. - ix, 56 p. :ill., digital ;24 cm. - SpringerBriefs in computational intelligence,2625-3704. - SpringerBriefs in computational intelligence..

Preface -- Chapter 1. LASOX Cutting: Principles and Evolution -- Chapter 2. Integrated Soft Computing Based Methodologies for Modelling -- Chapter 3. Modelling and Optimisation of LASOX Cutting of Mild Steel: A Case Study.

This book presents the basics of the Laser Assisted Oxygen (LASOX) cutting process, its development, advantages and shortcomings, together with detailed information on the research work carried out to date regarding the modelling and optimization of the process. It introduces two integrated soft computing-based models consisting of Artificial Neural Networks (ANN-GA and ANN SA) for the modelling and optimization of LASOX cutting. It also includes an in-depth discussion on the basic working algorithms of soft computing tools such as Artificial Neural Networks, Genetic Algorithms, Simulated Annealing etc. The book not only provides an approach to optimizing LASOX by means of soft computing-based integrated models, but also illustrates the practical implementation of the proposed models.

ISBN: 9783030049034$q(electronic bk.)

Standard No.: 10.1007/978-3-030-04903-4doiSubjects--Topical Terms:

837917
Oxyacetylene welding and cutting.

LC Class. No.: TS228.2 / .C435 2019

Dewey Class. No.: 671.53

Modelling and optimisation of laser assisted oxygen (LASOX) cuttinga soft computing based approach /
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100 1 $a Chaki, Sudipto. $3 837915
245 1 0 $a Modelling and optimisation of laser assisted oxygen (LASOX) cutting $h [electronic resource] : $b a soft computing based approach / $c by Sudipto Chaki, Sujit Ghosal.
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300 $a ix, 56 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computational intelligence, $x 2625-3704
505 0 $a Preface -- Chapter 1. LASOX Cutting: Principles and Evolution -- Chapter 2. Integrated Soft Computing Based Methodologies for Modelling -- Chapter 3. Modelling and Optimisation of LASOX Cutting of Mild Steel: A Case Study.
520 $a This book presents the basics of the Laser Assisted Oxygen (LASOX) cutting process, its development, advantages and shortcomings, together with detailed information on the research work carried out to date regarding the modelling and optimization of the process. It introduces two integrated soft computing-based models consisting of Artificial Neural Networks (ANN-GA and ANN SA) for the modelling and optimization of LASOX cutting. It also includes an in-depth discussion on the basic working algorithms of soft computing tools such as Artificial Neural Networks, Genetic Algorithms, Simulated Annealing etc. The book not only provides an approach to optimizing LASOX by means of soft computing-based integrated models, but also illustrates the practical implementation of the proposed models.
650 0 $a Oxyacetylene welding and cutting. $3 837917
650 0 $a Laser beam cutting. $3 773132
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650 2 4 $a Artificial Intelligence. $3 212515
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950 $a Intelligent Technologies and Robotics (Springer-42732)