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...

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Bibliographic Details
Main Authors: Wirote Apinantanakon, Khamron Sunat, Joel Alan Kinmond
Format: Article
Language:English
Published: Khon Kaen University 2019-12-01
Series:Engineering and Applied Science Research
Subjects:
Online Access:https://www.tci-thaijo.org/index.php/easr/article/download/184408/155804/