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  • Maciej Huk
  • Applied Mathematics and Computer Science
  • 2012
In this paper the Sigma-if artificial neural network model is considered, which is a generalization of an MLP network with sigmoidal neurons. It was found to be a potentially universal tool for automatic creation of distributed classification and selective attention systems. To overcome the high nonlinearity of the aggregation function of Sigma-if neurons,(More)
The article presents the most important properties of Sigma-if neuron and neural network, which use a selective attention technique to solve classification problems. Abilities of Sigma-if neuron to perform active aggregation of input signals and to solve linearly inseparable problems are discussed. Variety of conducted experiments, during which Sigma-if(More)
Communication in intelligent computer networks is an indispensible attribute of the dataflow quality in Web traffic. We propose a model that investigates intelligent computer networks stability while specifying its limits. Packet queuing delay affects the performance of the network, and especially its stability. If the network is presented as a dynamic(More)
OBJECTIVES This prospective multicenter study assessed the prevalence and feasibility of percutaneous coronary angioplasty (PTCA) in the acute phase of ST-elevation myocardial infarction (STEMI) in 3 nonacademic interventional cardiology centers (Alsace, France). METHODS We studied the clinical characteristics, angiographic data, and PCTA results of all(More)