Special investigation of variable star delta cephei via neural network
- Authors
- Yoo, S.; Kang, J.; Lee, J.; Jeong, T.
- Issue Date
- 2008
- Keywords
- BPNN; Neural network; Variable star
- Citation
- Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008, pp.817 - 820
- Journal Title
- Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008
- Start Page
- 817
- End Page
- 820
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/23448
- DOI
- 10.1109/ICHIT.2008.217
- ISSN
- 0000-0000
- Abstract
- We investigated that the brightness magnitude of the Del Cephei had been adapted to three different training values and each training had four different hidden layers in the back-propagation neural network (BPNN) models. The best forecasting mean through different approaches in the BPNN model was obtained at 15% training with four hidden layers. However, the difference in forecasting accuracies of the different levels was not statistically significant. © 2008 IEEE.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > Computer Engineering > Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.