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Books > Computing & IT > Applications of computing > Artificial intelligence

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Modelling and Optimisation of Laser Assisted Oxygen (LASOX) Cutting: A Soft Computing Based Approach (Paperback, 1st ed. 2019) Loot Price: R1,597

Discovery Miles 15 970

Repayment Terms: R150 pm x 12*

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Modelling and Optimisation of Laser Assisted Oxygen (LASOX) Cutting: A Soft Computing Based Approach (Paperback, 1st ed. 2019):...

Modelling and Optimisation of Laser Assisted Oxygen (LASOX) Cutting: A Soft Computing Based Approach (Paperback, 1st ed. 2019)

Sudipto Chaki, Sujit Ghosal

Series: SpringerBriefs in Applied Sciences and Technology

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Loot Price R1,597 Discovery Miles 15 970 | Repayment Terms: R150 pm x 12*

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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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Applied Sciences and Technology
Release date:	2019
First published:	2019
Authors:	Sudipto Chaki • Sujit Ghosal
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	56
Edition:	1st ed. 2019
ISBN-13:	978-3-03-004902-7
Categories:	Books > Professional & Technical > Mechanical engineering & materials > Engineering skills & trades > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-004902-7
Barcode:	9783030049027