In the process of designing automatic control system it is very important to have an accurate
model of the controlled process. Approaches to modelling dynamic systems presented in the …

In this paper we propose a new method for evolutionary selection of parameters and
structure of neuro-fuzzy system for nonlinear modelling. This method allows maintain the …

This paper presents a novel neural network approach to the problem of image
reconstruction from projections obtained by spiral tomography scanner. The reconstruction …

The image reconstruction from projections problem is still the primary challenge for
designers of the computed tomography devices. The presented paper describes a new …

The presented paper describes a parallel realization of an approach to the reconstruction
problem for 3D spiral x-ray tomography. The reconstruction problem is formulated taking into …

The main purpose of this paper is to present the properties of our novel statistical model-
based iterative approach to the image reconstruction from projections problem regarding its …

In this paper an analytical iterative approach to the problem of image reconstruction from
parallel projections is presented. The reconstruction process is performed using Expectation …

This paper describes an analytical iterative approach to the problem of image reconstruction
from parallel projections using Expectation Minimization algorithm. The experiments with …

In this paper we propose a new iterative algorithm for image reconstruction from projections
problem. The reconstruction problem is reformulated as a system of linear equations with a …

The presented paper describes an analytical iterative approach to reconstruction problem
for positron emission tomography (PET). The reconstruction problem is formulated taking …