Estimating the Properties of Fundamental High Strength Concrete with Statistical Methods and A.N.Ns and their Comparison

Civil engineers and scientists usually have attempted to estimate properties of concrete as combined material by mathematical and physics models and they evaluate the influence of elements of mixing design in the way of features varing. The main cause of this case in enlarqine influencing parameters in properties of concrete and mainly the relation of unlinear influencing parameters with concrete features and taking long time for determining some concrete features. In this research, we have attempted to estimate main feature of concrete by designing applied mixing in the field of common concrete with high strength in Sahand laboratory by taking use of artificial nervous nets and models, in both of these famous models mixing plan as data un dimension numerical completely go together with A.N.Ns in statistic models, this fact is not true in the case of using corrected numbers