The Prediction in Computer Color Matching of Dentistry Based on GA+BP Neural Network
Joint Authors
Li, Haisheng
Lai, Long
Chen, Li
Lu, Cheng
Cai, Qiang
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-22
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Although the use of computer color matching can reduce the influence of subjective factors by technicians, matching the color of a natural tooth with a ceramic restoration is still one of the most challenging topics in esthetic prosthodontics.
Back propagation neural network (BPNN) has already been introduced into the computer color matching in dentistry, but it has disadvantages such as unstable and low accuracy.
In our study, we adopt genetic algorithm (GA) to optimize the initial weights and threshold values in BPNN for improving the matching precision.
To our knowledge, we firstly combine the BPNN with GA in computer color matching in dentistry.
Extensive experiments demonstrate that the proposed method improves the precision and prediction robustness of the color matching in restorative dentistry.
American Psychological Association (APA)
Li, Haisheng& Lai, Long& Chen, Li& Lu, Cheng& Cai, Qiang. 2015. The Prediction in Computer Color Matching of Dentistry Based on GA+BP Neural Network. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1058007
Modern Language Association (MLA)
Li, Haisheng…[et al.]. The Prediction in Computer Color Matching of Dentistry Based on GA+BP Neural Network. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1058007
American Medical Association (AMA)
Li, Haisheng& Lai, Long& Chen, Li& Lu, Cheng& Cai, Qiang. The Prediction in Computer Color Matching of Dentistry Based on GA+BP Neural Network. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1058007
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058007