Stanisław Osowski - Subjects of research

· Neural networks - numerical algorithms for efficient training of artificial neural networks: supervised (MLP, RBF) and self-organizing competitive networks.

· Neurofuzzy networks: - learning algorithms: supervised (TSK) and fuzzy clustering networks, practical applications of neurofuzzy systems.

· Support Vector Machine networks - learning aspects and applications

· Deep learning structures – learning aspects and applications in biomedical engineering

· Applications aspects of neural -  general problems of approximation, classification, prediction, identification.

· Practical use of neural networks - load forecasting in power systems,  fault location pattern recognition in biomedical applications (ECG, EEG, tremor, human cell recognition), artificial nose application,