Maciej Huk

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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)
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)
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)
  • Maciej Huk
  • 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)