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.[...]

This paper proposes model-driven techniques to extend IBM’s SOMA method towardsmigrating legacy systems into Service-Oriented Architectures (SOA). The proposal exploreshow graph-based querying and transformation techniques enable the integration oflegacy assets into a new SOA. The presented...