참고문헌 (13)

1. The Korean Journal of Business Administration Kim 21 6 2421 2008 "A study on the prediction of stock price using artificial intelligence system" 

2. The Journal of the Institute of Electronics Engineers of Korea-CI Lee 45 5 95 2008 "Development of the KOSPI (Korea Composite Stock Price Index) forecast model using neural network and statistical methods" 

3. Expert Systems with Applications Hsu 38 11 14026 2011 "A hybrid procedure for stock price prediction by integrating self-organizing map and genetic programming" 

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4. The Journal of Korean Institute of Information Scientists and Engineers : Computing Practices and Letters Lee 19 1 23 2013 "A stock trading system based on supervised learning of highly volatile stock price patterns" 

5. Fischer, Thomas, Krauss, Christopher. Deep learning with long short-term memory networks for financial market predictions. European journal of operational research, vol.270, no.2, 654-669.

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6. The Journal of KAIS Song 27 3 123 2018 "A study on the optimal trading frequency pattern and forecasting timing in real time stock trading using deep learning: focused on KOSDAQ" 

7. Lee, Jae Won. Short-term Stock Price Prediction by Supervised Learning of Rapid Volume Decreasing Patterns. 정보과학회. 컴퓨팅의 실제 논문지 = KIISE transactions on computing practices, vol.24, no.10, 544-553.

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8. "Stock Price Prediction Technique Using Technical Analysis Index and Deep Running" Won 404 2018 

9. The Journal of Artificial Intelligence Research Kaelbling 4 237 1996 10.1613/jair.301 "Reinforcement learning : A survey" 

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10. Mnih, Volodymyr, Kavukcuoglu, Koray, Silver, David, Rusu, Andrei A., Veness, Joel, Bellemare, Marc G., Graves, Alex, Riedmiller, Martin, Fidjeland, Andreas K., Ostrovski, Georg, Petersen, Stig, Beattie, Charles, Sadik, Amir, Antonoglou, Ioannis, King, Helen, Kumaran, Dharshan, Wierstra, Daan, Legg, Shane, Hassabis, Demis. Human-level control through deep reinforcement learning. Nature, vol.518, no.7540, 529-533.

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11. Shin, Dong-Ha, Choi, Kwang-Ho, Kim, Chang-Bok. Deep Learning Model for Prediction Rate Improvement of Stock Price Using RNN and LSTM. 韓國情報技術學會論文誌 = Journal of Korean institute of information technology, vol.15, no.10, 9-16.

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12. Hsieh, Tsung-Jung, Hsiao, Hsiao-Fen, Yeh, Wei-Chang. Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm. Applied soft computing, vol.11, no.2, 2510-2525.

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13. Korean Management Science Review Park 28 1 53 2011 10.3346/jkms.2011.26.1.53 "Stock price prediction based on time series network" 

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