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Predicting Ink Transfer Rate of 3D Additive Printing Using EGBO Optimized Least Squares Support Vector Machine Model
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Ink transfer rate (ITR) is a reference index to measure the quality of 3D additive printing.
In this study, an ink transfer rate prediction model is proposed by applying the least squares support vector machine (LSSVM).
In addition, enhanced garden balsam optimization (EGBO) is used for selection and optimization of hyperparameters that are embedded in the LSSVM model.
102 sets of experimental sample data have been collected from the production line to train and test the hybrid prediction model.
Experimental results show that the coefficient of determination (R2) for the introduced model is equal to 0.8476, the root-mean-square error (RMSE) is 6.6 × 10 (−3), and the mean absolute percentage error (MAPE) is 1.6502 × 10 (−3) for the ink transfer rate of 3D additive printing.
American Psychological Association (APA)
Li, Shengpu& Sun, Yize. 2020. Predicting Ink Transfer Rate of 3D Additive Printing Using EGBO Optimized Least Squares Support Vector Machine Model. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1201493
Modern Language Association (MLA)
Li, Shengpu& Sun, Yize. Predicting Ink Transfer Rate of 3D Additive Printing Using EGBO Optimized Least Squares Support Vector Machine Model. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1201493
American Medical Association (AMA)
Li, Shengpu& Sun, Yize. Predicting Ink Transfer Rate of 3D Additive Printing Using EGBO Optimized Least Squares Support Vector Machine Model. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1201493
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201493