1 |
H. M. Jeong, J. H. Park, "Short-term Electric Load Forecsting in Winter and Summer Seasons using Narx Nueral Network", The Transactions of the Korean Institute of Electrical Engineers , Vol. 66, No. 7, pp. 1001-1006, 2017. DOI: https://doi.org/10.5370/KIEE.2017.66.7.1001
DOI
|
2 |
Z. Boussada, O. Curea, A. Remaci, H. Camblong, N. M. Bellaaj, "A Nonlinear Auto Regressive Exogenous (NARX) Neural Network Model for th Prediction of the Daily Direct Solar Radiation", Energies , Vol. 11, No. 3, 2018. DOI: https://doi.org/10.3390/en11030620
|
3 |
H. Y. Shen, L. C. Chang, "Online Multistep-ahead Inundation Depth Forecasts by Recurrent NARX Networks", Hydrol Earth Syst. Sci , 17 pp. 935-945, 2013. DOI: https://doi.org/10.5194/hess-17-935-2013
DOI
|
4 |
Y. J. Song, J. W. Lee, J. W. Lee, "A Design and Implementation of Deep Learning Model for Stock Prediction using Tensorflow", The Korean Institute of Information Scientists and Engineers , KIISE Transactions on Computing Practices , Jeju, Korea, Vol. 2017, No. 66, pp. 799-801, 2017. DOI: https://doi.org/10.5626/KTCP.2017.23.11.625
|
5 |
B. K. Chang, "The Impact of Exchange Rate and Interest Rate on Financial Institutions' Stock Returns and Volatility", Journal of The Korean Data Analysis Society , Vol. 14, No. 3, pp. 1,645-1,658, 2012.
|
6 |
Y. G. Shin, "A Study for Trends of Stock Trading Value by Foreign Investors in the Korean Stock Market", Journal of the Korean Data Analysis Society , Vol. 9, No. 5, pp. 2383-2391, 2007.
|
7 |
H. S. Kim, H. J. Shin, "Electricity Price Prediction Based on Semi-Supervised Learning and Neural Network Algorithms", Journal of the Korean Institute of Industrial Engineers , Vol. 39, No. 1, pp. 30-45, 2013. DOI: http://dx.doi.org/10.7232/JKIIE.2013.39.1.030
DOI
|
8 |
S. N. S. Abdullah, A. Khamis, "Forecasting Wheat Price Using Backpropagation And NARX Neural Network", International Journal of Engineering Science, Vol. 3, No. 11, pp. 19-26, 2014.
|
9 |
H. Singh, "Understanding Gradient Boosting Machines", Towards data science, Available From : https://towardsdatascience.com/understanding-gradie nt-boosting-machines-9be756fe76ab (accessed April 10, 2020)
|
10 |
I. T. Joo, S. H. Choi, "Stock Prediction Model based on Bidirectional LSTM Recurrent Neural Network", The Journal of Korea Institute of Information, Electronics, and Communication Technology, Vol. 11, No. 2, pp. 204-208, 2018. DOI: https://doi.org/10.17661/jkiiect.2018.11.2.204
DOI
|
11 |
D. H. Shin, K. H. Choi, C. B. Kim, "Deep Learning Model for Prediction Rate Improvement of Stock Price Using RNN and LSTM", The Journal of Korean Institute of Information Technology , Vol. 15, No. 10, pp. 9-16, 2017. DOI: https://doi.org/10.14801/jkiit.2017.15.10.9
|
12 |
Ji Hye Son, "Number of active stock accounts are about 30 millions", UPI news, Available From: https://upinews.kr/newsView/upi202001200035 (accessed March, 24, 2020)
|
13 |
Tae Ki Won, "KB Stock launches non face-to-face service 'Open Trade'", Joseilbo, Available From : http://m.joseilbo.com/news/view.htm?newsid=391680 #_enliple (accessed March 23, 2020)
|
14 |
Y. R. Song, H. G. Kim, D. H. Han, "A study on the Effective Relationship between Macroeconomic Variables and Stock Prices based on a Multi-Factor Model", The e-Business Studies , Vol. 10, No. 3, pp. 97-128, 2009. DOI: http://dx.doi.org/10.15719/geba.10.3.200909.97
DOI
|
15 |
J. Y. Heo, J. Y. Yang, "SVM based Stock Price Forecasting Using Financial Statements", KISE Transactions on Computing Practices, Vol. 21, No. 3, pp. 167-172, 2015. DOI: https://dx.doi.org/10.5626/KTCP.2015.21.3.167
DOI
|