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