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Discrete-time parallel robot motion control using adaptive neuro-fuzzy inference system based on improved subtractive clustering., и . FUZZ-IEEE, стр. 1000-1006. IEEE, (2016)An enhanced adaptive neural fuzzy tool condition monitoring for turning process., , , и . FUZZ-IEEE, стр. 1976-1982. IEEE, (2016)Tool Condition Monitoring Using the TSK Fuzzy Approach Based on Subtractive Clustering Method., , , и . IEA/AIE, том 5027 из Lecture Notes in Computer Science, стр. 52-61. Springer, (2008)Automatic Fingerprint Identification Using Cluster Algorithm., , , и . ICPR (2), стр. 398-401. IEEE Computer Society, (2002)Model-Free adaptive neural fuzzy feed forward torque control for nonlinear parallel mechanism., и . AIM, стр. 1043-1048. IEEE, (2015)Modelling of dynamic micromilling cutting forces using type-2 fuzzy rule-based system., , , и . FUZZ-IEEE, стр. 1-7. IEEE, (2010)Uncertainty Prediction for Tool Wear Condition Using Type-2 TSK Fuzzy Approach., , и . SMC, стр. 660-665. IEEE, (2009)Tool wear assessment based on type-2 fuzzy uncertainty estimation on acoustic emission., , , , и . Appl. Soft Comput., (2015)Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation., , , , , , , , , и 5 other автор(ы). J. Cheminformatics, 15 (1): 57 (декабря 2023)Using semantic caching to manage location dependent data in mobile computing., и . MobiCom, стр. 210-221. ACM, (2000)