shear wave velocity is a basic engineering tool required to define dynamic properties of soils. in many instances it may be preferable to determine vs indirectly by common in-situ tests, such as the standard penetration test. many empirical correlations based on the standard penetration test are broadly classified as regression techniques. however, no rigorous procedure has been published for c...

Accumulation of soluble salts in arid areas which are similar to most regions of Iran is inevitable in soil surface and profile because of low precipitation and high evaporation. High concentration of soluble salts in soil profile caused severe problems for root water uptake thus plant growth stopped. Reducing soil salinity to optimized content by leaching and avoiding soil pounding must be con...

Bubble point pressure is an important parameter in equilibrium calculations of reservoir fluids and having other applications in reservoir engineering. In this work, an artificial neural network (ANN) and a least square support vector machine (LS-SVM) have been used to predict the bubble point pressure of reservoir fluids. Also, the accuracy of the models have been compared to two-equation stat...

Both theoretical and empirical findings have suggested that combining different models can be an effective way to improve the predictive performance of each individual model. It is especially occurred when the models in the ensemble are quite different. Hybrid techniques that decompose a time series into its linear and nonlinear components are one of the most important kinds of the hybrid model...

Shear wave velocity is a basic engineering tool required to define dynamic properties of soils. In many instances it may be preferable to determine Vs indirectly by common in-situ tests, such as the Standard Penetration Test. Many empirical correlations based on the Standard Penetration Test are broadly classified as regression techniques. However, no rigorous procedure has been published for c...

In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds second virial coefficient. Compounds were classified to the different groups. Finest parameters were obtained by Genetic Algorithm method ...

in this paper, a sensitivity analysis of artificial neural networks (nns) is presented and employed for estimating the patch load resistance of plate girders subjected to patch loading. to evaluate the accuracy of the proposed nn model, the results are compared with the previously proposed empirical models, so that we can estimate the resistance of plate girders subjected to patch loading. the ...