FORECASTING SAHAM SYARIAH DENGAN MENGGUNAKAN LSTM
Abstract
Keywords
Full Text:
PDF (Bahasa Indonesia)References
Brockwell, P. J., Davis, R. A., & Calder, M. V. (2002). Introduction to Time series and Forecasting. New York: Springer.
Cao, J., Li, Z., & Li, J. (2019). Financial Time Series Forecasting Model Based on CEEMDAN and LSTM. Physica A: Statistical Mechanics and its Applications, 519: 127-139.
Cao, L. J., & Tay, F. E. H. (2003). Support Vector Machine with Adaptive Parameters in Financial Time Series Forecasting. IEEE Transactions on Neural Networks, 14(6): 1506-1518.
Kim, K. J. (2003). Financial Time Series Forecasting Using Support Vector Machines. Neurocomputing, 55(1-2): 307-319.
Lu, C. J., Lee, T. S., & Chiu, C. C. (2009). Financial Time Series Forecasting Using Independent Component Analysis and Support Vector Regression. Decision Support Systems, 47(2): 115-125.
Provost, F., & Fawcett, T. (2013). Data Science and its Relationship to Big Data and DataDriven Decision Making. Big data, 1(1): 51-59.
Tay, F. E., & Cao, L. (2001). Application of Support vector Machines in Financial Time Series Forecasting. Omega, 29(4): 309-317.
DOI: http://dx.doi.org/10.15548/al-masraf.v4i1.210
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
View My Stats