This paper describes results of the simulation of social objects, the dependenceof schoolchildren's professional abilities on their personal characteristics. Thesimulation tool is the articial neural network (ANN) technology. Results of acomparison of the time expense for training the ANN and...

This paper describes articial neural networks which are based on the adaptiveresonance theory. The usage of these articial neural networks for classicationtasks is presented. The example uses is the classication of patient health fromthe results of general blood analysis.[...]

An estimation of the number of multiplication and addition operations fortraining articial neural networks by means of consecutive and parallel algorithmson a computer cluster is carried out. The evaluation of the eciency of thesealgorithms is developed. The multilayer perceptron, the Volterra...

This paper describes a parallel algorithm for selecting activation functionsof an articial network. For checking the eciency of this algorithm a count ofmultiplicative and additive operations is used.[...]

This paper describes the analysis of a neural network used to predict currencyexchange rates in comparison to technical analysis. The neural network structuresused are a multilayer perceptron and a Volterra network.[...]

The estimation of various social objects is necessary in different fields of social life, science,education, etc. This estimation is usually used for forecasting, for evaluating of different propertiesand for other goals in complex man-machine systems.[...]

Cloud Computing is a topic that has gained momentum in the last years. Current studies show that anincreasing number of companies is evaluating the promised advantages and considering making use ofcloud services. In this paper we investigate the phenomenon of cloud computing and its importance...

Expert-driven business process management is an establishedmeans for improving efficiency of organizational knowledge work.Implicit procedural knowledge in the organization is made explicit bydening processes. This approach is not applicable to individual knowledgework due to its high complexity...

We present a non-linear camera pose estimator, which is able to handle a combined input of point and line featurecorrespondences. For three or more correspondences, the estimator works on any arbitrary number and choiceof the feature type, which provides an estimation of the pose on a preferably...

Eye-trackers have been used in the past to identify visual foci inimages, nd task-related image regions, or localize aective regions inimages. However, they have not been used for identifying specic ob-jects in images. In this paper, we investigate whether it is possibleto assign image regions...