Ana anlysis of the complex fuzzy inference system and its application in artificial neural networks: study and implementation of a multivariate ANCFIS model for time series forecasting
Piccaro, Filippo (A.A. 2022/2023) Ana anlysis of the complex fuzzy inference system and its application in artificial neural networks: study and implementation of a multivariate ANCFIS model for time series forecasting. Tesi di Laurea in Data-driven models for investment, Luiss Guido Carli, relatore Elio Stocchi, pp. 93. [Master's Degree Thesis]
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Abstract/Index
Introduction to fuzzy logic, neural networks and ANCFIS. Fuzzy logic. Complex fuzzy logic: theory and implementation. Neuro-fuzzy systems and the ANCFIS model. ANCFIS model implementation. Mathematical implementation. Code implementation. LSTM as benchmark. Model testing. LSTM tests as benchmark. ANCFIS with SGD optimization algorithm. ANCFIS with Adam optimization algorithm.
References
Bibliografia e sitografia: pp. 91-93.
| 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: | Data-driven models for investment |
| Thesis Supervisor: | Stocchi, Elio |
| Thesis Co-Supervisor: | Martino, Alessio |
| Academic Year: | 2022/2023 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 22 May 2024 14:29 |
| Last Modified: | 22 May 2024 14:29 |
| URI: | https://tesi.luiss.it/id/eprint/38613 |
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