governing is in need of various regulations which can be of different property from the primary decree due to the necessities, expediencies and interventional conditions.  considering the factor of “the entity of rule”, “the function of rule” and “the process of changing legal decree to the rule”, it can be understood that the entity of rule and legal decision particularly in view of criterion ...

Abstract: Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we used Gaussian mixture model to the pixels of an image. The parameters of the model were estimated by EM-algorithm.   In addition pixel labeling corresponded to each pixel of true image was made by Bayes rule. In fact,...

The First Come Served (FCFS) queuing policy is routinely assumed to be the benchmark for “fairness” in waiting-time performance. In this article, we propose a slight modification of FCFS based on natural extension well-established David and Yechiali (DY) rule analyze it context managing waiting list kidney transplants. proposed policy, agents are sequentially offered stochastically arriving org...

The present work derives the exact analytical solutions for buckling and post-buckling analysis of nano-composite beams reinforced by single-walled carbon nanotubes (SWCNTs) based on the Euler-Bernoulli beam theory and principle of virtual work. The reinforcements are considered to be aligned in the polymeric matrix either unifor...

In this thesis we focused on subsymbolic approach to machine game play problem. We worked on two different methods of learning. Our first goal was to test the ability of common feed-forward neural networks and the mixture of expert topology. We have derived reinforcement learning algorithm for mixture of expert network topology. This topology is capable to split the problem into smaller parts, ...