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References
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References
C. Hu, Q. Wu, H. Li, S. Jian, N. Li, and Z. Lou, “Deep learning with a long short-term memory networks approach for rainfall-runoff simulation,†Water (Switzerland), vol. 10, no. 11, pp. 1–16, 2018, doi: 10.3390/w10111543.
J. Schmidhuber, “Deep Learning in neural networks: An overview,†Neural Networks, vol. 61, pp. 85–117, 2015, doi: 10.1016/j.neunet.2014.09.003.
G. Ghazali, Jondri, and M. Si, “Prediksi saham menggunakan dbn ( deep belief network ) stock prediction using dbn ( deep belief network ),†eProceedings Eng., vol. 4, no. 1, pp. 1258–1273, 2017.
W. Bao, J. Yue, and Y. Rao, “A deep learning framework for financial time series using stacked autoencoders and longshort term memory,†J. Cheminform., vol. 24, no. 4, pp. 1–11, 2018, doi: 10.6084/m9.figshare.5028110.
S. Li, H. Fang, and B. Shi, “Multi-Step-Ahead Prediction with Long Short Term Memory Networks and Support Vector Regression,†Chinese Control Conf. CCC, vol. 2018-July, pp. 8104–8109, 2018, doi: 10.23919/ChiCC.2018.8484066.
Z. Chen, Y. Liu, and S. Liu, “Mechanical state prediction based on LSTM neural netwok,†Chinese Control Conf. CCC, pp. 3876–3881, 2017, doi: 10.23919/ChiCC.2017.8027963.
M. A. D. Suyudi, “Prediksi Harga Saham menggunakan Metode Recurrent Neural Network,†Wikipedia, vol. 052, no. 735, pp. 3–6, 2015.
M. Rizki, “Implementasi Deep Learning Menggunakan Arsitektur Long Short Term Memory(Lstm) Untuk Prediksi Curah Hujan Kota Malang,†vol. 2, no. 3, pp. 331–338, 2019.
M. Wildan, P. Aldi, and A. Aditsania, “Analisis dan Implementasi Long Short Term Memory Neural Network untuk Prediksi Harga Bitcoin,†e-Proceeding Eng., vol. 5, no. 2, pp. 3548–3555, 2018.
A. Ubrani and S. Motwani, “LSTM- and GRU-based time series models for market clearing price forecasting of Indian deregulated electricity markets,†Adv. Intell. Syst. Comput., vol. 898, pp. 693–700, 2019, doi: 10.1007/978-981-13-3393-4_70.
Q. Wang, Y. Guo, L. Yu, and P. Li, “Earthquake Prediction based on Spatio-Temporal Data Mining: An LSTM Network Approach,†IEEE Trans. Emerg. Top. Comput., vol. 6750, no. c, pp. 1–1, 2017, doi: 10.1109/tetc.2017.2699169.