New fundamental period formulae for soil-reinforced concrete structures interaction using machine learning algorithms and ANNs
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 …
great importance. Thus, developing tools that would help in accurately predicting the …
Sensitivity analysis of machine learning models for the mass appraisal of real estate. Case study of residential units in Nicosia, Cyprus
T Dimopoulos, N Bakas - Remote sensing, 2019 - mdpi.com
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 …
and academics in the field of real estate are focusing on Mass Appraisals rather than on the …
Gradient free stochastic training of ANNs, with local approximation in partitions
We present a numerical scheme for computation of Artificial Neural Networks (ANN) weights,
which stems from the Universal Approximation Theorem, avoiding costly iterations. The …
which stems from the Universal Approximation Theorem, avoiding costly iterations. The …
[HTML][HTML] Flexible wolf pack algorithm for dynamic multidimensional knapsack problems
H Wu, R Xiao - Research, 2020 - spj.science.org
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 …
attracted notable attention in the past decades. It is clear from the dynamic optimization …
[PDF][PDF] Prediction of the shear capacity of reinforced concrete slender beams without stirrups by applying artificial intelligence algorithms in a big database of beams …
Calculating the shear capacity of slender reinforced concrete beams without shear
reinforcement was the subject of numerous studies, where the eternal problem of …
reinforcement was the subject of numerous studies, where the eternal problem of …
Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines
R Campagna, E Perracchione - Journal of Scientific Computing, 2021 - Springer
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 …
available data and has the application scope of providing reliable predictions on the …
A gradient free neural network framework based on universal approximation theorem
We present a numerical scheme for computation of Artificial Neural Networks (ANN) weights,
which stems from the Universal Approximation Theorem, avoiding laborious iterations. The …
which stems from the Universal Approximation Theorem, avoiding laborious iterations. The …
Artificial intelligence for mass appraisals of residential properties in Nicosia: mathematical modelling and algorithmic implementation
T Dimopoulos, N Bakas - Seventh International Conference on …, 2019 - spiedigitallibrary.org
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 …
and academics are focusing on Mass Appraisals rather than on further developing the …
[PDF][PDF] Modification of the" Piramidal" Algorithm of the Small Time Series Forecasting.
It is proposed a modification of the “piramidal” algorithm of small time series
forecasting.“Piramidal” approach was developed in recent years, numerical results show …
forecasting.“Piramidal” approach was developed in recent years, numerical results show …
Assessment of the Structural Response of Steel Reinforced and Steel-Fibre Reinforced Concrete Structures with 3D Detailed Modeling: Limitations and Remedies
M Papadrakakis, G Markou - Current Trends and Open Problems in …, 2022 - Springer
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 …
designs, to extreme loading conditions is of significant importance in achieving a safe and …