1D-CapsNet-LSTM: A deep learning-based model for multi-step stock index forecasting
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Elsevier BV
Reference66 articles.
1. Afshar, P., Mohammadi, A., Plataniotis, K.N., 2018. Brain Tumor Type Classification via Capsule Networks. Paper presented at the 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece.
2. Framework for predicting and modeling stock market prices based on deep learning algorithms;Aldhyani;Electronics,2022
3. A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer;Altan;Appl. Soft Comput.,2021
4. Comparative analysis of deep learning models for multi-step prediction of financial time series;Aryal;J. Comput. Sci.,2020
5. DGA CapsNet: 1D application of capsule networks to DGA detection;Berman;Information,2019
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