dropCyclic: Snapshot Ensemble Convolutional Neural Network Based on a New Learning Rate Schedule for Land Use Classification

dropCyclic: Snapshot Ensemble Convolutional Neural Network Based on a New Learning Rate Schedule for Land Use Classification

The ensemble learning method is a necessary process that provides robustness and is more accurate than the single model. The snapshot ensemble convolutional neural network (CNN) has been successful and widely used in many domains, such as image classification, fault diagnosis, and plant image classi...

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Bibliographic Details
Main Authors: Sangdaow Noppitak, Olarik Surinta
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Snapshot ensemble convolutional neural network
ensemble learning
convolutional neural network
learning rate schedule
land use classification
aerial image
Online Access:https://ieeexplore.ieee.org/document/9791446/

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