نماذج متعدد المتغيرات باستعمال الشبكات العصبية الإحصائية

Abstract EN

The purpose of this paper is to study the effect of independent variables in multivariate models using intelligent models characterized by flexibility and modernity represented by neural networks for strategic agricultural crops that affect the countries' nutritional security.

the most important findings of this research are the adoption of statistical neural networks in particular and artificial neural networks in general as an alternative to the traditional methods adopted to deal with multivariate models such as correct analysis, especially in relationships, models, quasi-linear, nonlinear or even linear, flexible and smart to handle multivariate models with complete efficiency.