نتایج جستجو برای: evolutionary polynomial regression

تعداد نتایج: 530545  

Ahmad Asl Hashemi, Alireza Behrooz Sarand, Esmaeil Fatehifar, Khaled Zoroufchi Benis, Mohammad Shakerkhatibi, Nahideh Mohammadi,

Background: Forecasting of air pollutants has become a popular topic of environmental research today. For this purpose, the artificial neural network (AAN) technique is widely used as a reliable method for forecasting air pollutants in urban areas. On the other hand, the evolutionary polynomial regression (EPR) model has recently been used as a forecasting tool in some environmental issues. In ...

Aida Nazari, Babak Ebrahimian,

Analyzing piles subjected to lateral loads significantly depends on soil resistance at any point along the pile as a function of pile deflection, known as p-y curve. On the other hand, the deformation characteristics of soil defined as “the soil strain at 50% of maximum deviatoric stress (ε50)” has considerable effect on the generated p-y curve. In this research, several models are proposed to ...

Journal: :Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2010

2013
Asaad Faramarzi Amir M. Alani Akbar A. Javadi

Keywords: Self-learning Finite element Evolutionary computation Material modelling EPR a b s t r a c t In this paper an EPR-based self-learning method is presented for modelling the constitutive behaviour of materials using evolutionary polynomial regression (EPR). The proposed approach takes advantage of the rich stress–strain data buried in non-homogenous structural tests. The load–deformatio...

Journal: :Stochastic Processes and their Applications 1985

Journal: :Statistical papers 2023

Abstract Improvements in technology lead to increasing availability of large data sets which makes the need for reduction and informative subsamples ever more important. In this paper we construct D -optimal subsampling designs polynomial regression one covariate invariant distributions covariate. We study quadratic closely specific distributions. particular make statements on shape resulting o...

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