The application of sequential generative adversarial networks for stock price prediction
Bate He, Eisuke Kita
| Year of publication: |
2021
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|---|---|
| Authors: | He, Bate ; Kita, Eisuke |
| Published in: |
The review of socionetwork strategies. - Tokyo : Springer Japan, ISSN 1867-3236, ZDB-ID 2471097-0. - Vol. 15.2021, 2, p. 455-470
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| Subject: | Stock price prediction | Time series analysis | Autoregressive Integrated Moving Average (ARIMA) | Multi-layer perceptron (MLP) | Recurrent Neural Network (RNN) | Long Short-Term Memory (LSTM) | Gated Recurrent Unit (GRU) | Sequential Generative Adversarial Networks (GANs) | Börsenkurs | Share price | Zeitreihenanalyse | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | ARMA-Modell | ARMA model | Theorie | Theory |
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