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A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering.

, , and . CSIT, page 119-122. IEEE, (2016)

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Fuzzy Clusterization of Distorted by Missing Observations Data Sets Using Evolutionary Optimization., , , and . ACIT, page 217-220. IEEE, (2019)Matrix Deep Neural Network and Its Rapid Learning in Data Science Tasks., , , and . ACIT, volume 2300 of CEUR Workshop Proceedings, page 141-144. CEUR-WS.org, (2018)Simple Neuro-Fuzzy System with Combined Learning for Pattern Recognition under Conditions of Short Training Set in Medical Diagnostics Tasks., , , and . IDDM, volume 3302 of CEUR Workshop Proceedings, page 1-8. CEUR-WS.org, (2022)A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering., , and . CSIT, page 119-122. IEEE, (2016)Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm., , , and . CSIT, page 111-114. IEEE, (2015)Computational Intelligence Techniques for Data Analysis.. Leipziger Informatik-Tage, volume P-72 of LNI, page 15-36. GI, (2005)2D-Deep Neural Network and Its Online Rapid Learning., , , and . IDAACS, page 304-307. IEEE, (2019)Function Decomposition Network., , and . ICANN (1), volume 5768 of Lecture Notes in Computer Science, page 718-727. Springer, (2009)Deep Evolving Stacking Convex Cascade Neo-Fuzzy Network and Its Rapid Learning., , , , and . FedCSIS, volume 15 of Annals of Computer Science and Information Systems, page 29-33. (2018)Tunable Activation Functions for Deep Neural Networks., , , and . ISDMCI, volume 77 of Lecture Notes on Data Engineering and Communications Technologies, page 624-633. Springer, (2021)