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LCA based RBF training algorithm for the concurrent fault situation.

, , и . Neurocomputing, (2016)

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Yühe Feng

Feng Qiu

Feng Bao

Zhaoyong Feng

Feng Li

 

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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)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)Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks., , , и . IEEE Trans. Neural Networks Learn. Syst., 26 (9): 2188-2193 (2015)Robustness Analysis on Dual Neural Network-based k WTA With Input Noise., , и . IEEE Trans. Neural Networks Learn. Syst., 29 (4): 1082-1094 (2018)LCA based RBF training algorithm for the concurrent fault situation., , и . Neurocomputing, (2016)Properties and learning algorithms for faulty RBF networks with coexistence of weight and node failures., , , и . Neurocomputing, (2017)Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation., , , , , и . J. Digit. Imaging, 32 (2): 290-299 (2019)Objective Function and Learning Algorithm for the General Node Fault Situation., , , и . IEEE Trans. Neural Networks Learn. Syst., 27 (4): 863-874 (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)Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization., , , и . Cogn. Comput., 10 (1): 23-34 (2018)