Comparison of performance four different regression model (Linear Regressor, Polynomial Regres- sor, Decision Tree Regressor and Random Forest Regressor) and a mathematical model (Exponential Growth ...

Nonlinear regression can be used to model phenomena such as exponential growth, decay, saturation, oscillation, and logistic growth. Add your perspective Help others by sharing more (125 ...

Exponential regression is often used to model population growth, radioactive decay, or compound interest. Add your perspective. Help others by sharing more (125 characters min.) Cancel ...

This paper focuses on predicting wind power using ten distinct models, including Gaussian Process Regression (GPR) with proper tunning of kernel function. Thereafter, the same wind power prediction is ...

The Multivariate Linear Regression model achieves an impressive R-squared value of 0.9959, indicating high accuracy in predicting economic indicators. Furthermore, the Exponential Smoothing model ...