M.Sc. Tezi Görüntüleme

      In this study, confidence zone concept used in univariate probability functions is generalized to bivariate probability density function. Borders of confidence zone in bivariate probability functions were set forth by using polygonal approach. Line based artificial bee colony algorithm was used to determine polygonal area. In this method, polygonal area was triangulated by using random samples as first step, then sequential random points were selected on the borders of triangles. A polygonal area was created by assembling these points. In the next step, this zone was improved and minimum area was selected which has desired confidence level. Developed method was used for determination of mining zones automatically by using artificial drilling data. Solution was formed with simulation of artificial drilling data to bivariate probability values.