Evaluation of the Calculated Sizes Based on the Neural Network Regression
Joint Authors
Zhao, Zexiang
Zhao, Xinyu
Xi, Jianpu
Zhang, Guoqing
Shang, Mengjiao
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-02
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The evaluation models of circumference diameter, area diameter, and volume diameter were established based on the cylindrical coordinate measuring method, respectively.
Many groups of roundness profiles of cylindrical specimens were extracted, and their pseudo and actual circumference diameters, area diameters, and volume diameters were evaluated according to the established evaluation models and the sampling data of the extracted roundness profiles.
The relationship models between the pseudo calculated sizes and the actual calculated sizes were built through a series of training based on the neural network regression.
The checked experiments for the training models showed that the evaluation of the calculated sizes can meet their measurement accuracy requirement through the pseudo calculated sizes, which were evaluated based on the roundness profiles by using the cylindricity or roundness measuring instrument.
American Psychological Association (APA)
Zhao, Zexiang& Xi, Jianpu& Zhao, Xinyu& Zhang, Guoqing& Shang, Mengjiao. 2018. Evaluation of the Calculated Sizes Based on the Neural Network Regression. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1207284
Modern Language Association (MLA)
Zhao, Zexiang…[et al.]. Evaluation of the Calculated Sizes Based on the Neural Network Regression. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1207284
American Medical Association (AMA)
Zhao, Zexiang& Xi, Jianpu& Zhao, Xinyu& Zhang, Guoqing& Shang, Mengjiao. Evaluation of the Calculated Sizes Based on the Neural Network Regression. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1207284
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207284