Article

Article title THE PYRAMIDAL NETWORK FOR CLASSIFICATION OF OBJECTS, PRESENTED BY FUZZY FEATURES
Authors D.M. Khaneyev, N.N. Filatova
Section SECTION I. MODELS AND METHODS OF THE ASSESSMENT OF THE PSYCHOPHYSIOLOGICAL CONDITION OF THE PERSON OPERATOR
Month, Year 09, 2012 @en
Index UDC 004.931
DOI
Abstract This paper presents the research results of the pyramidal network applied to the problem of classification of objects presented fuzzy features in the field of biomedical systems. The technique of building pyramidal network and an extraction method from this structure the fuzzy descriptions of object classes presented in training set is considered. Classes’ descriptions which obtained through the network may be used for the working sample objects classifying. The application of a pyramidal network in problem of automatic classification of respiratory noise samples, presented by spectra, is considered.

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Keywords Classification; pattern recognition; respiratory noises; fuzzy logic; graph theory
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2. Гладун В.П. Партнерство с компьютером – Киев: Port-Royal, 2000. – С. 17-44.
3. Поспелов Д.А. Ситуационное моделирование. Теория и практика. – М.: Наука, 1986. – С. 174-182.

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