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Online Learning for Faulty RBF Networks with the Concurrent Fault., , , и . ICONIP (1), том 8834 из Lecture Notes in Computer Science, стр. 271-278. Springer, (2014)Realization of Fault Tolerance for Spiking Neural Networks with Particle Swarm Optimization., , и . ICONIP (2), том 9490 из Lecture Notes in Computer Science, стр. 79-86. Springer, (2015)Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks., , , и . IEEE Trans. Neural Networks Learn. Syst., 26 (9): 2188-2193 (2015)The Performance of the Stochastic DNN-kWTA Network., , , и . ICONIP (1), том 8834 из Lecture Notes in Computer Science, стр. 279-286. Springer, (2014)Weakly-Supervised Deep Learning for Left Ventricle Fibrosis Segmentation in Cardiac MRI Using Image-Level Labels., , , , , , , , , и 5 other автор(ы). CinC, стр. 1-4. IEEE, (2022)Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis., , , , , , и . MICCAI (4), том 11767 из Lecture Notes in Computer Science, стр. 384-393. Springer, (2019)An Improved Fault-Tolerant Objective Function and Learning Algorithm for Training the Radial Basis Function Neural Network., , , , и . Cogn. Comput., 6 (3): 293-303 (2014)Properties and learning algorithms for faulty RBF networks with coexistence of weight and node failures., , , и . Neurocomputing, (2017)LCA based RBF training algorithm for the concurrent fault situation., , и . Neurocomputing, (2016)Lagrange Programming Neural Network for the l_1 -norm Constrained Quadratic Minimization., , и . ICONIP (3), том 9491 из Lecture Notes in Computer Science, стр. 119-126. Springer, (2015)