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Hierarchical Reinforcement Learning, , , и . ACM Computing Surveys, 54 (5): 1--35 (июня 2021)Supervised Pseudo Self-Evolving Cerebellar algorithm for generating fuzzy membership functions., и . Expert Syst. Appl., 39 (3): 2279-2287 (2012)Stock trading using PSEC and RSPOP: a novel evolving rough set-based neuro-fuzzy approach., и . Congress on Evolutionary Computation, стр. 1032-1039. IEEE, (2005)A personalized approach to insulin regulation using brain-inspired neural sematic memory in diabetic glucose control., , и . IEEE Congress on Evolutionary Computation, стр. 2644-2651. IEEE, (2007)Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents?, , , , и . IJCAI, стр. 3470-3478. ijcai.org, (2023)A Modified Generalized RBF Model with EM-based Learning Algorithm., , и . IC-AI, стр. 262-270. CSREA Press, (2006)A mamdani-takagi-sugeno based linguistic neural-fuzzy inference system for improved interpretability-accuracy representation., и . FUZZ-IEEE, стр. 367-372. IEEE, (2009)An adaptive fuzzy semantic memory model based on the computational principles of the human hippocampus., и . FUZZ-IEEE, стр. 1667-1674. IEEE, (2008)A Precise Ellipse Fitting Method for Noisy Data., , и . ICIAR (1), том 7324 из Lecture Notes in Computer Science, стр. 253-260. Springer, (2012)Stock price prediction using Generic Self-Evolving Takagi-Sugeno-Kang (GSETSK) fuzzy neural network., и . IJCNN, стр. 1-8. IEEE, (2010)