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What is Optimizing ANN for PSE Index Forecasting about?

This research paper presents the Enhanced Particle Swarm Optimization (RAB-PSO) algorithm to optimize Artificial Neural Networks (ANNs) for forecasting the Philippine Stock Exchange Index (PSEi). Utilizing a dataset from May 2018 to May 2023, the study demonstrates that the RAB-PSO-optimized ANN model significantly outperforms traditional PSO methods, achieving minimal error rates in forecasting accuracy. The findings highlight the importance of hyperparameter optimization in improving financial prediction

Author

Dennis Barrios

Language

EN