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Evaluating Non-Hierarchical Overflow Loss Systems Using Teletraffic Theory and Neural Networks.

, , и . IEEE Commun. Lett., 25 (5): 1486-1490 (2021)

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Cheung-Chi Leung

Chi-Leung Chu

Raymond Leung

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Dieter Sing

 

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Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm., и . IEEE Trans. Neural Networks Learn. Syst., 34 (5): 2619-2632 (мая 2023)Evaluating Non-Hierarchical Overflow Loss Systems Using Teletraffic Theory and Neural Networks., , и . IEEE Commun. Lett., 25 (5): 1486-1490 (2021)Using recursive least square learning method for principal and minor components analysis., , и . ICASSP, стр. 1089-1092. IEEE, (1998)On Node-Fault-Injection Training of an RBF Network., , и . ICONIP (2), том 5507 из Lecture Notes in Computer Science, стр. 324-331. Springer, (2008)Fault-Tolerant Incremental Learning for Extreme Learning Machines., , и . ICONIP (2), том 9948 из Lecture Notes in Computer Science, стр. 168-176. (2016)Analysis of the DNN-kWTA Network Model with Drifts in the Offset Voltages of Threshold Logic Units., , и . ICONIP (4), том 9950 из Lecture Notes in Computer Science, стр. 270-278. (2016)Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements., , , и . ICONIP (2), том 7664 из Lecture Notes in Computer Science, стр. 234-241. Springer, (2012)Combining PCA and MCA by using recursive least square learning method., , и . ICECS, стр. 121-124. IEEE, (1998)Handwritten digit recognition using trace neural network with EKF training algorithm., , и . ICECS, стр. 295-298. IEEE, (1999)Analysis on Dropout Regularization., и . ICONIP (5), том 1143 из Communications in Computer and Information Science, стр. 253-261. Springer, (2019)