Optimal data division for empowering artificial neural network models employing a modified M-SPXY algorithm
Data splitting is an important step in artificial neural network (ANN) models, which is found in the form of training and testing subsets. In general, a random data splitting method is favored to divide a pool of samples into subsets, without considering the quality of data for the training step of...
Main Authors: | Wirote Apinantanakon, Khamron Sunat, Joel Alan Kinmond |
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Format: | Article |
Language: | English |
Published: |
Khon Kaen University
2019-12-01
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Series: | Engineering and Applied Science Research |
Subjects: | |
Online Access: | https://www.tci-thaijo.org/index.php/easr/article/download/184408/155804/ |
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