A recent video from the SWU Computer Engineering department presents research on stock market trend prediction for the S&P 500 using an Adaptive Neuro-Fuzzy Inference System (ANFIS). The study combines fuzzy logic with neural networks to forecast market movements, highlighting the potential of hybrid AI approaches in financial analysis.
The presentation, uploaded by the SWU SoftwareEngineer channel, demonstrates how ANFIS can model complex, non-linear relationships in stock market data. While specific results are not detailed in the video description, the work represents an academic exploration of computational intelligence techniques applied to finance.
The research was conducted at the Computational Intelligence Research Lab (CIRL), Department of Computer Engineering, Faculty of Engineering, Srinakharinwirot University in Thailand. The video is intended for educational purposes and public knowledge sharing.