Functional data learning using convolutional neural networks
In this paper, we show how convolutional neural networks (CNNs) can be used in regression and classification learning problems for noisy and non-noisy functional data (FD). The main idea is to transform the FD into a 28 by 28 image. We use a specific but typical architecture of a CNN to perform all...
Main Authors: | J Galarza, T Oraby |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2024-01-01
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Series: | Machine Learning: Science and Technology |
Subjects: | |
Online Access: | https://doi.org/10.1088/2632-2153/ad2627 |
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