A Performance Comparison of MATLAB ANN and LP-NEURO Method for Rainfall Prediction

Anand M Sharan

LP-Neuro method, ANN models

This paper presents a comparative study of rainfall prediction using two computational approaches: the Artificial Neural Network (ANN) implemented in MATLAB and the LP-Neuro method. Based on the results obtained from the dataset covering the years 1993–2025, the predictive performance of both models is analyzed in terms of accuracy, error values, and overall statistical measures. The results indicate that while both methods are capable of capturing rainfall patterns, the LP-Neuro method demonstrates slightly better consistency in reducing error values across the years. This study highlights the potential of hybrid optimization-based neural techniques in improving rainfall forecasts compared to traditional ANN models.