A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning
Author:
Funder
POR FERS
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-01839-5.pdf
Reference45 articles.
1. Ahmadian S, Khanteymoori AR (2015) Training back propagation neural networks using asexual reproduction optimization. In: Conference on information and knowledge technology (IKT), pp. 1–6
2. An N, Ding H, Yang J, Au R, Ang TF (2020) Deep ensemble learning for alzheimer’s disease classification. J Biomed Inform 105:103411. https://doi.org/10.1016/j.jbi.2020.103411
3. Asad M (2015) Optimized stock market prediction using ensemble learning. In: 2015 9Th international conference on application of information and communication technologies (AICT), pp 263–268
4. Barra S, Carta SM, Corriga A, Podda AS, Recupero DR (2020) Deep learning and time series-to-image encoding for financial forecasting. IEEE/CAA J Autom Sin 73:683–692
5. Calvi GG, Lucic V, Mandic DP (2019) Support tensor machine for financial forecasting. In: ICASSP 2019 - 2019 IEEE International conference on acoustics, speech and signal processing (ICASSP), pp 8152–8156. https://doi.org/10.1109/ICASSP.2019.8683383
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