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.

• Hybrid neural networks - the self-organizing subnetwork connected with MLP.

• Support Vector Machine networks - learning aspects and applications

• Applications aspects of neural and neurofuzzy networks -  general problems of approximation, classification, prediction, identification.

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