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A fuzzy inference system to determine the number of clones in the clonal selection algorithm., , and . NaBIC, page 98-102. IEEE, (2010)Natural Computing in Pump-Scheduling Optimization for Water Supply System: Case Study., , , , , and . ICAISC (1), volume 9692 of Lecture Notes in Computer Science, page 359-369. Springer, (2016)A Fuzzy Inference System to Determine the Number of Clones in a Class of Artificial Immune Systems., , , and . International Journal of Computational Intelligence and Applications, (2012)Identification of Late Blight in Potato Leaves Using Image Processing and Machine Learning., , and . OL2A (2), volume 1982 of Communications in Computer and Information Science, page 164-177. Springer, (2023)Um método para identificar características predominantes em empreendedores que obtiveram sucesso utilizando um sistema neurodifuso.. Federal University of Santa Catarina, Florianópolis, Brazil, (2000)ndltd.org (oai:agregador.ibict.br.RI_UFSC:oai:repositorio.ufsc.br:123456789/79000).Training strategies for Radial Basis Function Neural Networks: A study applied to prostate cancer prognosis., , , , , and . CLEI, page 1-5. IEEE, (2012)Fuzzy expert system for predicting pathological stage of prostate cancer., , , , and . Expert Syst. Appl., 40 (2): 466-470 (2013)A Fuzzy Inference System to Determine the Number of Clones in a Class of Artificial Immune Systems., , , and . International Journal of Computational Intelligence and Applications, (2012)