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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.
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