IEEE

Earthquake Magnitude and Depth Prediction Based on Machine Learning and Multiple Linear Regression Models

Abstract: This paper presents a comprehensive exploration of earthquake magnitude and depth prediction using an advanced machine learning model and multiple linear regression model. The study ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses the kernel matrix inverse (Cholesky ...
SciELO

Agrometeorological models for groundnut crop yield forecasting in the Jaboticabal, São Paulo State region, Brazil

Forecast is the act of estimating a future event based on current data. Ten-day period (TDP) meteorological data were used for modeling: mean air temperature, precipitation and water balance ...
IEEE

A multidimensional indicator prediction assessment method based on time series and multiple linear regression model

Abstract: This paper focuses on a multidimensional indicator prediction assessment method based on time series and multiple linear regression modelling. Through in-depth analysis of relevant data, ...