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Guang-Bin Huang

Showing results (1-10 of 63) with videos related to

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IEEE Transactions on Neural Networks|February 2, 2008
Learning capability and storage capacity of two-hidden-layer feedforward networksGuang-Bin Huang
Shanghai Kou Qiang Yi Xue = Shanghai Journal of Stomatology|February 26, 2004
[Clinical analysis of the preservation of the impacted wisdom teeth with full crown]Zhao-jing Tu, Guang-bin Huang
IEEE Transactions on Neural Networks|December 14, 2005
Neuron selection for RBF neural network classifier based on data structure preserving criterionK Z Mao, Guang-Bin Huang
IEEE Transactions on Cybernetics|August 24, 2019
Slice-Based Online Convolutional Dictionary LearningYijie Zeng, Jichao Chen, Guang-Bin Huang
IEEE Transactions on Neural Networks|March 1, 2005
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximationGuang-Bin Huang, P Saratchandran, Narasimhan Sundararajan
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|February 26, 2010
Novel delay-dependent robust stability analysis for switched neutral-type neural networks with time-varying delays via SC techniqueHuaguang Zhang, Zhenwei Liu, Guang-Bin Huang
Neural Networks : the Official Journal of the International Neural Network Society|June 26, 2021
Label propagation via local geometry preserving for deep semi-supervised image recognitionYuanyuan Qing, Yijie Zeng, Guang-Bin Huang
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|December 29, 2004
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networksGuang-Bin Huang, P Saratchandran, Narasimhan Sundararajan
Neural Computation|August 25, 2016
Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent PlasticityHaoqi Sun, Olga Sourina, Guang-Bin Huang
Frontiers in Neuroscience|April 10, 2023
Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithmsYuqi Han, Chenwei Deng, Guang-Bin Huang
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
IEEE Transactions on Neural Networks|February 2, 2008
Learning capability and storage capacity of two-hidden-layer feedforward networksGuang-Bin Huang
Shanghai Kou Qiang Yi Xue = Shanghai Journal of Stomatology|February 26, 2004
[Clinical analysis of the preservation of the impacted wisdom teeth with full crown]Zhao-jing Tu, Guang-bin Huang
IEEE Transactions on Neural Networks|December 14, 2005
Neuron selection for RBF neural network classifier based on data structure preserving criterionK Z Mao, Guang-Bin Huang
IEEE Transactions on Cybernetics|August 24, 2019
Slice-Based Online Convolutional Dictionary LearningYijie Zeng, Jichao Chen, Guang-Bin Huang
IEEE Transactions on Neural Networks|March 1, 2005
A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximationGuang-Bin Huang, P Saratchandran, Narasimhan Sundararajan
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|February 26, 2010
Novel delay-dependent robust stability analysis for switched neutral-type neural networks with time-varying delays via SC techniqueHuaguang Zhang, Zhenwei Liu, Guang-Bin Huang
Neural Networks : the Official Journal of the International Neural Network Society|June 26, 2021
Label propagation via local geometry preserving for deep semi-supervised image recognitionYuanyuan Qing, Yijie Zeng, Guang-Bin Huang
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|December 29, 2004
An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networksGuang-Bin Huang, P Saratchandran, Narasimhan Sundararajan
Neural Computation|August 25, 2016
Learning Polychronous Neuronal Groups Using Joint Weight-Delay Spike-Timing-Dependent PlasticityHaoqi Sun, Olga Sourina, Guang-Bin Huang
Frontiers in Neuroscience|April 10, 2023
Editorial: Brain-inspired cognition and understanding for next-generation AI: Computational models, architectures and learning algorithmsYuqi Han, Chenwei Deng, Guang-Bin Huang
Pageof 7