Stock price prediction with evolutionary generative adversarial network
Confalone, Miro (A.A. 2022/2023) Stock price prediction with evolutionary generative adversarial network. Tesi di Laurea in Big data and smart data analytics, Luiss Guido Carli, relatore Irene Finocchi, pp. 68. [Master's Degree Thesis]
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Abstract/Index
Research objective and motivation. Generative AI. Generative vs discriminative models. Generative AI models. Generative adversarial networks. Time series and time series analysis. Time series data. Statistical models for time series snalysis. Machine learning models for time series analysis. Evolutionary algorithms. Genetic algoritms. Stock price prediction using evolutionary GAN. Related work. Methodology.
References
Bibliografia: pp. 52-56.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Big data and smart data analytics |
| Thesis Supervisor: | Finocchi, Irene |
| Thesis Co-Supervisor: | Martino, Alessio |
| Academic Year: | 2022/2023 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 11 Jan 2024 17:20 |
| Last Modified: | 11 Jan 2024 17:20 |
| URI: | https://tesi.luiss.it/id/eprint/37529 |
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