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Evolutionary learning of a fuzzy controller for industrial processes., , , , and . IECON, page 139-145. IEEE, (2014)Regenerative braking system modeling by fuzzy Q-Learning., , , , and . Eng. Appl. Artif. Intell., (2020)Soft Sensors for Industrial Applications: Comparison of Variables Selection Methods and Regression Models., , , and . ICCAD, page 1-6. IEEE, (2023)Federated Learning Enabled Prediction of Energy Consumption in Transactive Energy Communities., , , , and . ISGT-Europe, page 1-5. IEEE, (2022)Federated Learning Optimization for Energy Communities in Smart Cities., , , , and . ISC2, page 1-7. IEEE, (2023)Automatic extraction of the fuzzy control system by a hierarchical genetic algorithm., , , , and . Eng. Appl. Artif. Intell., (2014)Genetic fuzzy system for data-driven soft sensors design., , , and . Appl. Soft Comput., 12 (10): 3237-3245 (2012)Survey on Deep Fuzzy Systems in regression applications: a view on interpretability., , , and . CoRR, (2022)Survey on Deep Fuzzy Systems in Regression Applications: A View on Interpretability., , , and . Int. J. Fuzzy Syst., 25 (7): 2568-2589 (October 2023)A comparison of adaptive PID methodologies controlling a DC motor with a varying load., , , and . ETFA, page 1-6. IEEE, (2013)