Conference
Open access
2026
Enhanced Air Quality Index Forecasting through Genetic Algorithm-Based Kernel Extreme Learning Machine
The proposed GA-KELM forecasting model is investigated through experiments using long-term data sets recorded by monitoring air pollution of a metropolitan city in China and exhibits higher prediction accuracy, smaller forecasting error, and better robustness compared to the existing models.
M. Prince, B. Rajalingam, D. Soundaravalli et al.
· ITM Web of Conferences · 0 citations