Syaharuddin

A Hybrid ACO-BPNN-XGBoost Model for Monthly Rainfall Time-Series Forecasting

This study aimed to develop and evaluate a hybrid forecasting model integrating Ant Colony Optimization (ACO), Backpropagation Neural Network (BPNN), and XGBoost for monthly rainfall prediction. The proposed hybrid framework combines optimization, neural network, and boosting techniques within a single forecasting mode...