Modelling and Optimisation of Laser Assisted Oxygen (LASOX) Cutting: A Soft Computing Based Approach

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Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2018-12-15

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Description
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.
Pages
56 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2018-12-15
Marque
Springer
EAN papier
9783030049027
EAN PDF
9783030049034

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
1946 Ko
Prix
52,74 €
EAN EPUB
9783030049034

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
2345 Ko
Prix
52,74 €