Cluster analysis for data mining and system identification J Abonyi, B Feil Springer Science & Business Media, 2007 | 576 | 2007 |
Instrument engineers' handbook, volume two: Process control and optimization BG Liptak, MJ Piovoso, FG Shinskey, H Eren, GK Totherow, JE Jamison, ... CRC press, 2018 | 572 | 2018 |
Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models J Abonyi, R Babuska, F Szeifert IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 32 …, 2002 | 409 | 2002 |
Supervised fuzzy clustering for the identification of fuzzy classifiers J Abonyi, F Szeifert Pattern Recognition Letters 24 (14), 2195-2207, 2003 | 347 | 2003 |
Fuzzy model identification J Abonyi Fuzzy model identification for control, 87-164, 2003 | 311 | 2003 |
Learning fuzzy classification rules from labeled data JA Roubos, M Setnes, J Abonyi Information sciences 150 (1-2), 77-93, 2003 | 307 | 2003 |
Enabling Technologies for Operator 4.0: A Survey T Ruppert, S Jaskó, T Holczinger, J Abonyi Applied Sciences 8 (1650), 2018 | 257 | 2018 |
Genetic programming for the identification of nonlinear input− output models J Madár, J Abonyi, F Szeifert Industrial & engineering chemistry research 44 (9), 3178-3186, 2005 | 215 | 2005 |
Modified Gath–Geva clustering for fuzzy segmentation of multivariate time-series J Abonyi, B Feil, S Nemeth, P Arva Fuzzy Sets and Systems 149 (1), 39-56, 2005 | 191 | 2005 |
Data-driven generation of compact, accurate, and linguistically sound fuzzy classifiers based on a decision-tree initialization J Abonyi, JA Roubos, F Szeifert International journal of approximate reasoning 32 (1), 1-21, 2003 | 183 | 2003 |
Development of manufacturing execution systems in accordance with Industry 4.0 requirements: A review of standard-and ontology-based methodologies and tools S Jaskó, A Skrop, T Holczinger, T Chován, J Abonyi Computers in industry 123, 103300, 2020 | 181 | 2020 |
Effective optimization for fuzzy model predictive control S Mollov, R Babuska, J Abonyi, HB Verbruggen IEEE Transactions on fuzzy systems 12 (5), 661-675, 2004 | 181 | 2004 |
Focal points for sustainable development strategies—Text mining-based comparative analysis of voluntary national reviews V Sebestyén, E Domokos, J Abonyi Journal of Environmental Management 263, 110414, 2020 | 172 | 2020 |
Fuzzy clustering and data analysis toolbox B Balasko, J Abonyi, B Feil Department of Process Engineering, University of Veszprem, Veszprem, 2005 | 165 | 2005 |
Fuzzy clustering and data analysis toolbox for use with matlab B Balasko, J Abonyi, B Feil Veszprem, Hungary, 2005 | 163 | 2005 |
Correlation based dynamic time warping of multivariate time series Z Bankó, J Abonyi Expert Systems with Applications 39 (17), 12814-12823, 2012 | 160 | 2012 |
Identification and control of nonlinear systems using fuzzy Hammerstein models J Abonyi, R Babuška, MA Botto, F Szeifert, L Nagy Industrial & engineering chemistry research 39 (11), 4302-4314, 2000 | 109 | 2000 |
Optimization of multiple traveling salesmen problem by a novel representation based genetic algorithm A Király, J Abonyi Intelligent Computational Optimization in Engineering: Techniques and …, 2011 | 104 | 2011 |
Fuzzy modeling with multivariate membership functions: Gray-box identification and control design J Abonyi, R Babuska, F Szeifert IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 31 …, 2001 | 85 | 2001 |
Integration of real-time locating systems into digital twins T Ruppert, J Abonyi Journal of industrial information integration 20, 100174, 2020 | 83 | 2020 |