Neural network approach to the problems of MINMAD regression

Abstract

In this study, the criterion MINMAD (L1 or Minimum Mean Absolute Deviations) has been used for the estimation of unknown parameters in multiple regressions modeled as a linear programming problem. The model thus obtained has been analyzed through a neural network approach. Classical regression and neural network analyses have been compared in a numerical example and the results have been examined.