Modelling and optimisation of laser assisted oxygen (LASOX) cutting : a soft computing based approach / Sudipto Chaki, Sujit Ghosal.
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 com...
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| Online Access: |
Full Text (via Springer) |
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| Main Authors: | , |
| Other title: | Modeling and optimization of laser assisted oxygen cutting. |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2019]
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| Series: | SpringerBriefs in applied sciences and technology. Computational intelligence.
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| Subjects: |
| Summary: | 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. |
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| Physical Description: | 1 online resource. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783030049034 3030049035 9783030049041 3030049043 |
| Source of Description, Etc. Note: | Online resource; title from PDF title page (EBSCO, viewed December 24, 2018) |