Application of linear regression

This study presents the application of six single algorithm-based models of artificial intelligence, such as artificial neural network (ANN), support vector machine (SVM), classification and regression trees (CART), linear regression (LR), general linear model (GENLIN), and automatic Chisquared interaction detection (CHAID) to predict the residual flexural capacity of corroded RC structures.

12p vibecca 01-10-2024 1 1   Download

The present article discusses the application of linear regression, scaling factors (SF) and the so-called “mean activity method” to estimate the activity of DTM nuclides on metallic waste produced at the European Organization for Nuclear Research (CERN).

11p christabelhuynh 30-05-2020 9 1   Download

From the system we call the ‘normal equation system’ we can solve K normal equations for K unknown beta coefficients. The straight-forward representation of the solution is expressed in the matrix algebra. However, since the main purpose is the application and EViews. Other data analysis software is available, so we can easily find regression coefficients without remembering all the algebraic expressions.

12p hgiang 11-03-2009 173 17   Download