HyperKAN: Kolmogorov–Arnold Networks Make Hyperspectral Image Classifiers Smarter

HyperKAN: Kolmogorov–Arnold Networks Make Hyperspectral Image Classifiers Smarter

In traditional neural network designs, a multilayer perceptron (MLP) is typically employed as a classification block following the feature extraction stage. However, the Kolmogorov–Arnold Network (KAN) presents a promising alternative to MLP, offering the potential to enhance prediction accuracy. In...

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Bibliographic Details
Main Authors: Nikita Firsov, Evgeny Myasnikov, Valeriy Lobanov, Roman Khabibullin, Nikolay Kazanskiy, Svetlana Khonina, Muhammad A. Butt, Artem Nikonorov
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
Kolmogorov–Arnold networks
hyperspectral imaging
classification
transformers
convolutional neural networks
Online Access:https://www.mdpi.com/1424-8220/24/23/7683
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