Optimal weighted parameters of ensemble convolutional neural networks based on a differential evolution algorithm for enhancing pornographic image classification

Optimal weighted parameters of ensemble convolutional neural networks based on a differential evolution algorithm for enhancing pornographic image classification

Use of ensemble convolutional neural networks (CNNs) has become a more robust strategy to improve image classification performance. However, the success of the ensemble method depends on appropriately selecting the optimal weighted parameters. This paper aims to automatically optimize the weighted p...

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Bibliographic Details
Main Authors:	Sarayut Gonwirat, Olarik Surinta
Format:	Article
Language:	English
Published:	Khon Kaen University 2021-07-01
Series:	Engineering and Applied Science Research
Subjects:	pornographic image classification differential evolution algorithm mutation strategy convolutional neural networks ensemble convolutional neural networks stacked ensemble learning method ensemble learning method
Online Access:	https://ph01.tci-thaijo.org/index.php/easr/article/download/243592/166484/

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