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A neuro-fuzzy methodology for predicting industrial discarded material properties.

, , , and . Intelligenza Artificiale, 1 (3): 27-33 (2004)

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Discovering Prediction Rules by a Neuro-fuzzy Modeling Framework., , , and . KES, volume 2773 of Lecture Notes in Computer Science, page 1242-1248. Springer, (2003)Fuzzy User Profiling in e-Learning Contexts., , and . KES (2), volume 5178 of Lecture Notes in Computer Science, page 230-237. Springer, (2008)Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2019)Effect of fuzziness in fuzzy rule-based classifiers defined by strong fuzzy partitions and winner-takes-all inference., , , and . Soft Comput., 26 (14): 6519-6527 (2022)Explainable AI Beer Style Classifier., , , and . SICSA ReaLX, volume 2151 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Descriptive Stability of Fuzzy Rule-Based Systems., and . FUZZ-IEEE, page 1-6. IEEE, (2021)Multi-view Convolutional Network for Crowd Counting in Drone-Captured Images., , , , and . ECCV Workshops (4), volume 12538 of Lecture Notes in Computer Science, page 588-603. Springer, (2020)A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment., , , , and . WILF, volume 11291 of Lecture Notes in Computer Science, page 97-108. Springer, (2018)Hybrid Systems for Meta-Learning (Part II): the MINDFUL System., and . CIMCA/IAWTIC, page 451-456. IEEE Computer Society, (2005)Exploiting Particle Swarm Optimization to Attune Strong Fuzzy Partitions Based on Cuts., and . EUSFLAT Conf., volume 1 of Atlantis Studies in Uncertainty Modelling, Atlantis Press, (2019)