In this paper, imperialist competitive algorithm as a computational method is implemented in MATLAB software to estimate monthly average daily global solar radiation on horizontal surface for some different climate cities of Iran. The experimental coefficients for Angstrom model have been calculated using imperialist competitive algorithm for all different climate cities and output data compare...

ardekoul fault zone which is along nnw-sse is located in eastern iran and northern part of the sistan subzone. dextral strike-slip fault zone of ardekuol is made of six main segments including korizan (28 km), bohn abad (8.8 km), abiz (32 km), gazkoon (20 km), moein abad (30.4 km), ghal maran (12 km), and two minor segments including olang morgh (12.8 km) and seh pestan (9.6 km).  the studied r...

permeability prediction problem has been examined using several methods such as empirical formulas, regression analysis and intelligent systems especially neural networks and fuzzy logic. this study proposes an improved and novel model for predicting permeability from conventional well log data. the methodology is integration of empirical formulas, multiple regression and neuro-fuzzy in a commi...

Artificial bee colony algorithm simulating the intelligent foraging behavior of honey bee swarms is one of the most popular swarm based optimization algorithms. It has been introduced in 2005 and applied in several fields to solve different problems up to date. In this paper, an artificial bee colony algorithm, called as Artificial Bee Colony Programming (ABCP), is described for the first time ...

Variable selection via penalized estimation is appealing for dimension reduction. For penalized linear regression, Efron, et al. (2004) introduced the LARS algorithm. Recently, the coordinate descent (CD) algorithm was developed by Friedman, et al. (2007) for penalized linear regression and penalized logistic regression and was shown to gain computational superiority. This paper explores...

The research was aimed at predicting floor water-inrush risk in coal mines and forewarn of such accidents to guide safe production practice. To this end, a prediction method for water inrush combining the chaotic fruit fly optimization algorithm (CFOA) generalized regression neural network (GRNN) is proposed. Floor predicted by virtue robust nonlinear mapping capability GRNN. However, because e...

Measuring interpupilary distance and pupil height is a crucial step in the process of optometry. However, existing methods suffer from low accuracy, high cost, lack portability, limited research on studying both parameters simultaneously. To overcome these challenges, we propose method that combines ensemble regression trees (ERT) with BlendMask algorithm to accurately measure interpupillary he...

In this paper we study a dual version of the Ridge Regression procedure. It allows us to perform non-linear regression by constructing a linear regression function in a high dimensional feature space. The feature space representation can result in a large increase in the number of parameters used by the algorithm. In order to combat this \curse of dimensionality", the algorithm allows the use o...

shape of the regression kernel based on its overlap with hypothesized activation ROI (right). As the regression kernel is positioned at various locations throughout the image, the algorithm checks whether it also overlaps with the activation kernel (purple). If there is no overlap, all voxels within the kernel contribute to linear regression as per the standard PVEc method. Otherwise, the algor...