José Israel Casas-Flores

Assessing the Effect of Training Record Length on Daily Pan Evaporation Estimation Using MLR, MLP, LSTM, and XGBoost Models in a Semi-Arid Region of Mexico

This study assessed the effect of training record length on daily pan evaporation estimation using Multiple Linear Regression (MLR), Multilayer Perceptron (MLP), Long Short-Term Memory (LSTM), and Extreme Gradient Boosting (XGBoost) models in a semi-arid region of Mexico. Two his...