z-logo
open-access-imgOpen Access
Minimize the sum of the error boxes in the multi-linear regression model using the genetic algorithm
Author(s) -
H Al Shalahi Mohammed
Publication year - 2018
Publication title -
mağallaẗ al-tarbiyaẗ wa-al-ʻilm
Language(s) - English
Resource type - Journals
eISSN - 2664-2530
pISSN - 1812-125X
DOI - 10.33899/edusj.2018.147585
Subject(s) - linear regression , mathematics , variables , errors in variables models , relation (database) , statistics , variable (mathematics) , least squares function approximation , regression analysis , linear model , algorithm , generalized least squares , design matrix , genetic algorithm , computer science , mathematical optimization , data mining , mathematical analysis , estimator

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom