An Electronic Component Recognition Algorithm Based on Deep Learning with a Faster SqueezeNet
Joint Authors
Yang, Genke
Xu, Yuanyuan
Luo, Jiliang
He, Jianan
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Electronic component recognition plays an important role in industrial production, electronic manufacturing, and testing.
In order to address the problem of the low recognition recall and accuracy of traditional image recognition technologies (such as principal component analysis (PCA) and support vector machine (SVM)), this paper selects multiple deep learning networks for testing and optimizes the SqueezeNet network.
The paper then presents an electronic component recognition algorithm based on the Faster SqueezeNet network.
This structure can reduce the size of network parameters and computational complexity without deteriorating the performance of the network.
The results show that the proposed algorithm performs well, where the Receiver Operating Characteristic Curve (ROC) and Area Under the Curve (AUC), capacitor and inductor, reach 1.0.
When the FPR is less than or equal 10−6 level, the TPR is greater than or equal to 0.99; its reasoning time is about 2.67 ms, achieving the industrial application level in terms of time consumption and performance.
American Psychological Association (APA)
Xu, Yuanyuan& Yang, Genke& Luo, Jiliang& He, Jianan. 2020. An Electronic Component Recognition Algorithm Based on Deep Learning with a Faster SqueezeNet. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194127
Modern Language Association (MLA)
Xu, Yuanyuan…[et al.]. An Electronic Component Recognition Algorithm Based on Deep Learning with a Faster SqueezeNet. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1194127
American Medical Association (AMA)
Xu, Yuanyuan& Yang, Genke& Luo, Jiliang& He, Jianan. An Electronic Component Recognition Algorithm Based on Deep Learning with a Faster SqueezeNet. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1194127
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194127