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A comparison of adaptive PID methodologies controlling a DC motor with a varying load., , , и . ETFA, стр. 1-6. IEEE, (2013)Genetically optimized extreme learning machine., , , и . ETFA, стр. 1-8. IEEE, (2013)Automatic extraction of the fuzzy control system by a hierarchical genetic algorithm., , , , и . Eng. Appl. Artif. Intell., (2014)Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine., , , и . Neurocomputing, (2014)Operational Decision-Making on Desalination Plants: From Process Modelling and Simulation to Monitoring and Automated Control With Machine Learning., , , , , , , , , и 1 other автор(ы). Int. J. Decis. Support Syst. Technol., 15 (2): 1-20 (2023)Predicting gas emissions in a cement kiln plant using hard and soft modeling strategies., , , и . ETFA, стр. 1-8. IEEE, (2013)Modular Cyber-Physical System for Smart Industry: a case study on energy load disaggregation., , , , , и . ICCAD, стр. 1-6. IEEE, (2023)Adaptive identification and predictive control using an improved on-line sequential extreme learning machine., , , , и . IECON, стр. 58-64. IEEE, (2014)Determining Microservice Boundaries: A Case Study Using Static and Dynamic Software Analysis., , , , , и . ECSA, том 12292 из Lecture Notes in Computer Science, стр. 315-332. Springer, (2020)Supporting Operational Decisions on Desalination Plants from Process Modelling and Simulation to Monitoring and Automated Control with Machine Learning., , , , , , , , , и 1 other автор(ы). ICDSST, том 384 из Lecture Notes in Business Information Processing, стр. 150-164. Springer, (2020)