A consistent description of the confining QCD vacuum as a dual superconductor requires a determination of fundamental parameters such as the superconductor correlation length ξ and the field penetration depth λ, which determine whether the superconductor is of type I or type II. We illustrate preliminary results of a lattice determination of ξ for the case of pure Yang-Mills with two colors, ob...

Network structure determination is an important issue in pattern classification based on a probabilistic neural network. In this study, a supervised network structure determination algorithm is proposed. The proposed algorithm consists of two parts and runs in an iterative way. The first part identifies an appropriate smoothing parameter using a genetic algorithm, while the second part determin...

The star sensor has been widely used as an important and accurate attitude measurement sensor in classical satellite attitude determination systems. This paper analyses the influence of star sensor’s sampling frequency on attitude determination accuracy within an Extended Kalman filter (EKF). Simulations are used to validate the theoretical analysis and determine the parameters of the influence...

‎in this paper‎, ‎we consider an inverse boundary value problem for two-dimensional heat equation in an annular domain‎. ‎this problem consists of determining the temperature on the interior boundary curve from the cauchy data (boundary temperature and heat flux) on the exterior boundary curve‎. ‎to this end‎, ‎the boundary integral equation method is used‎. ‎since the resulting system of linea...

Support vector machine (SVM) is a novel pattern classification method that is valuable in many applications. Kernel parameter setting in the SVM training process, along with the feature selection, significantly affects classification accuracy. The objective of this study is to obtain the better parameter values while also finding a subset of features that does not degrade the SVM classification...

Support vector machine (SVM) is a popular pattern classification method with many diverse applications. Kernel parameter setting in the SVM training procedure, along with the feature selection, significantly influences the classification accuracy. This study simultaneously determines the parameter values while discovering a subset of features, without reducing SVM classification accuracy. A par...

In this article, we discuss deterministic annealing and chaotic annealing, when doubly constrained network (DCN) is applied to quadratic assignment problem. The two algorithms are compared in several aspects; they are bifurcation structures, obtained solutions, and parameter determination.

We prove that for any integer generalized scoring rules (GSRs), winner determination and computing a wide range of strategic behavior are fixed-parameter tractable (FPT) w.r.t. the number of alternatives.

in many applications the quality of a process or product is best characterized and summarized by a functional relationship between a response variable and one or more explanatory variables. profile monitoring is used to understand and to check the stability of this relationship over time. therefore checking the capability of a profile seems essential. process capability indices have become very...