Fusion Method of Convolutional Neural Network and Support Vector Machine for High Accuracy Anomaly Detection
Files
Department
Mechanical Engineering Department
Description
[abstract not available]
Publication Date
8-1-2019
Document Type
Book Chapter
Book Title
Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
ISBN
9781728116983
Publisher
IEEE
City
Piscataway, NJ
First Page
970
Last Page
975
Keywords
Deep Convolutional Neural Network (DCNN), Defect Inspection System, Support Vector Machine (SVM)
Recommended Citation
APA Citation
Nagata, F.
Tokuno, K.
Nakashima, K.
Otsuka, A.
...
(2019).Fusion Method of Convolutional Neural Network and Support Vector Machine for High Accuracy Anomaly Detection. IEEE. , 970-975
https://fount.aucegypt.edu/faculty_book_chapters/158
MLA Citation
Nagata, Fusaomi, et al.
Fusion Method of Convolutional Neural Network and Support Vector Machine for High Accuracy Anomaly Detection. IEEE, 2019.pp. 970-975
https://fount.aucegypt.edu/faculty_book_chapters/158