Artificial neural networks for the modelling and fault diagnosis of technical processesPatan, Krzysztof.Lecture notes in control and information sciences. 2008, issn 0170-8643, isbn 978-3-540-79871-2, 1Vol, XXII, 245 p, isbn 978-3-540-79871-2Book

Approximation of state-space trajectories by locally recurrent globally feed-forward neural networksPATAN, Krzysztof.Neural networks. 2008, Vol 21, Num 1, pp 59-64, issn 0893-6080, 6 p.Article

Stability analysis and the stabilization of a class of discrete-time dynamic neural networksPATAN, Krzysztof.IEEE transactions on neural networks. 2007, Vol 18, Num 3, pp 660-673, issn 1045-9227, 14 p.Article

Training of the dynamic neural networks via contstrained optimisationPATAN, Krzysztof.International Joint Conference on Neural Networks. 2004, isbn 0-7803-8359-1, 4Vol, Vol1, 195-200Conference Paper

Stochastic learning methods- for dynamic neural networks: Simulated and real-data comparisonsPATAN, Krzysztof; PARISINI, Thomas.Proceedings of the American Control Conference. 2002, pp 2577-2582, issn 0743-1619, isbn 0-7803-7298-0, 6Vol, 6 p.Conference Paper

Global stability conditions of locally recurrent neural networksPATAN, Krzysztof; KORBICZ, Jozef; PRETKI, Przemyslaw et al.Lecture notes in computer science. 2005, pp 191-196, issn 0302-9743, isbn 3-540-28755-8, 6 p.Conference Paper