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Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning.

, , , and . IEEE Trans. Neural Netw. Learning Syst., 29 (4): 1058-1068 (2018)

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Detection and Diagnosis of Broken Rotor Bars in Induction Motors Using the Fuzzy Min-Max Neural Network., , and . IJNCR, 3 (1): 44-55 (2012)Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors., , , and . Neural Computing and Applications, 23 (Supplement-1): 191-200 (2013)Detection and diagnosis of broken rotor bars and eccentricity faults in induction motors using the Fuzzy Min-Max neural network., , and . IJCNN, page 1-5. IEEE, (2013)Meta-cognitive Recurrent Recursive Kernel OS-ELM for concept drift handling., , and . Appl. Soft Comput., (2019)Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree., , , and . IEEE Trans. Neural Netw. Learning Syst., 27 (12): 2760-2767 (2016)Classifying Stress From Heart Rate Variability Using Salivary Biomarkers as Reference., , , , and . IEEE Trans. Neural Netw. Learning Syst., 27 (10): 2035-2046 (2016)Condition Monitoring of Broken Rotor Bars Using a Hybrid FMM-GA Model., , and . ICONIP (3), volume 8836 of Lecture Notes in Computer Science, page 381-389. Springer, (2014)A hybrid FAM-CART model and its application to medical data classification., , , and . Neural Computing and Applications, 26 (8): 1799-1811 (2015)Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models., , , and . Expert Syst. Appl., 41 (10): 4891-4903 (2014)Hybrid evolutionary neuro-fuzzy approach based on mutual adaptation for human gesture recognition., , , and . Appl. Soft Comput., (2016)