The importance of designing safe and economic structures in seismically active areas is of
great importance. Thus, developing tools that would help in accurately predicting the …

A recent study of property valuation literature indicated that the vast majority of researchers
and academics in the field of real estate are focusing on Mass Appraisals rather than on the …

We present a numerical scheme for computation of Artificial Neural Networks (ANN) weights,
which stems from the Universal Approximation Theorem, avoiding costly iterations. The …

Optimization problems especially in a dynamic environment is a hot research area that has
attracted notable attention in the past decades. It is clear from the dynamic optimization …

Calculating the shear capacity of slender reinforced concrete beams without shear
reinforcement was the subject of numerous studies, where the eternal problem of …

The data driven extrapolation requires the definition of a functional model depending on the
available data and has the application scope of providing reliable predictions on the …

We present a numerical scheme for computation of Artificial Neural Networks (ANN) weights,
which stems from the Universal Approximation Theorem, avoiding laborious iterations. The …

A recent study in property valuation literature, indicated that the vast majority of researchers
and academics are focusing on Mass Appraisals rather than on further developing the …

It is proposed a modification of the “piramidal” algorithm of small time series
forecasting.“Piramidal” approach was developed in recent years, numerical results show …

The assessment of the nonlinear response of existing structures, or of new structural
designs, to extreme loading conditions is of significant importance in achieving a safe and …