| Prediction of ductile cast iron quality by artificial neural networks M Perzyk, AW Kochański Journal of Materials Processing Technology 109 (3), 305-307, 2001 | 105 | 2001 |
| Detection of causes of casting defects assisted by artificial neural networks M Perzyk, A Kochański Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2003 | 75 | 2003 |
| Modeling of manufacturing processes by learning systems: The naïve Bayesian classifier versus artificial neural networks M Perzyk, R Biernacki, A Kochański Journal of Materials Processing Technology 164, 1430-1435, 2005 | 49 | 2005 |
| Comparison of data mining tools for significance analysis of process parameters in applications to process fault diagnosis M Perzyk, A Kochanski, J Kozlowski, A Soroczynski, R Biernacki Information Sciences 259, 380-392, 2014 | 38 | 2014 |
| Assessment of ductile iron casting process with the use of the DRSA method A Kujawińska, M Rogalewicz, M Diering, M Piłacińska, A Hamrol, ... Journal of Mining and Metallurgy, Section B: Metallurgy 52 (1), 25-34, 2016 | 23 | 2016 |
| Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process A Kujawinska, M Rogalewicz, M Piłacińska, A Kochański, A Hamrol, ... Metalurgija 55 (4), 821-824, 2016 | 19 | 2016 |
| Data preprocessing in industrial manufacturing P Grzegorzewski, A Kochanski Soft Modeling in Industrial Manufacturing, 27-41, 2019 | 18 | 2019 |
| Data preparation A Kochański Computer Methods in Materials Science 10 (1), 25-29, 2010 | 18 | 2010 |
| Knowledge discovery and analysis in manufacturing M Polczynski, A Kochanski Quality Engineering 22 (3), 169-181, 2010 | 15 | 2010 |
| Knowledge in Imperfect Data A Kochanski, M Perzyk, M Klebczyk Advances in Knowledge Representation, 181 - 210, 2012 | 10* | 2012 |
| Highsilicone Austempered Ductile Iron A Kochański, A Krzyńska, T Radziszewski Archives of foundry Engineering 14 (1), 55--58, 2014 | 9 | 2014 |
| Effectiveness of SCADA systems in control of green sands properties Z Ignaszak, R Sika, M Perzyk, A Kochański, J Kozłowski Archives of Foundry Engineering 16 (1), 5--12, 2016 | 8 | 2016 |
| Comparison of Austempered Ductile Iron and Manganese Steel Wearability A Kochański, A Krzyńska, T Chmielewski, A Stoliński Archives of Foundry Engineering 15 (1), 51-54, 2015 | 8 | 2015 |
| Properties and structure of high-silicone austempered ductile iron A Krzyńska, A Kochański Archives of Foundry Engineering 14 (2), 91-94, 2014 | 8 | 2014 |
| Istotność względna sygnałów wejściowych sieci neuronowej M Perzyk, A Kochański, J Kozłowski Informatyka w Technologii Materiałów 3 (3-4), 172--179, 2003 | 8 | 2003 |
| Applications of Data Mining to Diagnosis and Control of Manufacturing Processes M Perzyk, R Biernacki, A Kochanski, J Kozlowski, A Soroczynski Knowledge-Oriented Applications in Data Mining, Chapter 10, pp. 147-166, 2011 | 7 | 2011 |
| Austenitization of Ferritic Ductile Iron A Krzynska, A Kochanski Archives of Foundry Engineering 14 (4), 49-54, 2014 | 6 | 2014 |
| Selected principles of feeding systems design: simulation vs industrial experience M Perzyk, A Kochański, P Mazurek, K Karczewski Archives of Foundry Engineering 14 (4), 77-82, 2014 | 6 | 2014 |
| From data to reasoning P Grzegorzewski, A Kochanski Soft modeling in industrial manufacturing, 15-25, 2019 | 5 | 2019 |
| Modelowanie parametrów procesu wykrawania dla różnych stanów zużycia stempla P Czyżewski, A Kochański, L Moszczyński Przegląd Mechaniczny, 2016 | 5 | 2016 |
Jacek KozłowskiInstytut Technik Wytwarzania, Politechnika WarszawskaZweryfikowany adres z pw.edu.pl
