AI-Powered Approaches for Hypersurface Reconstruction in Multidimensional Spaces

AI-Powered Approaches for Hypersurface Reconstruction in Multidimensional Spaces

The present article explores the possibilities of using artificial neural networks to solve problems related to reconstructing complex geometric surfaces in Euclidean and pseudo-Euclidean spaces, examining various approaches and techniques for training the networks. The main focus is on the possibil...

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Bibliographic Details
Main Authors: Kostadin Yotov, Emil Hadzhikolev, Stanka Hadzhikoleva, Mariyan Milev
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Mathematics
Subjects:
hypersurface reconstruction
approximation
artificial neural networks
Bézier curves
k-nearest neighbors
principal component analysis
Online Access:https://www.mdpi.com/2227-7390/12/20/3285

Internet

https://www.mdpi.com/2227-7390/12/20/3285

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