Segui
Dongpo Xu
Dongpo Xu
School of Mathematics and Statistics, Northeast Normal University, China
Email verificata su nenu.edu.cn - Home page
Titolo
Citata da
Citata da
Anno
Optimization in quaternion dynamic systems: Gradient, hessian, and learning algorithms
D Xu, Y Xia, DP Mandic
IEEE transactions on neural networks and learning systems 27 (2), 249-261, 2015
1262015
Convergence of the RMSProp deep learning method with penalty for nonconvex optimization
D Xu, S Zhang, H Zhang, DP Mandic
Neural Networks 139, 17-23, 2021
1102021
Enabling quaternion derivatives: The generalized HR calculus
D Xu, C Jahanchahi, CC Took, DP Mandic
Royal Society open science 2 (8), 150255, 2015
1022015
Enabling quaternion derivatives: The generalized HR calculus
D Xu, C Jahanchahi, CC Took, DP Mandic
Royal Society open science 2 (8), 150255, 2015
1022015
The theory of quaternion matrix derivatives
D Xu, DP Mandic
IEEE Transactions on Signal Processing 63 (6), 1543-1556, 2015
942015
Convergence analysis of an augmented algorithm for fully complex-valued neural networks
D Xu, H Zhang, DP Mandic
Neural Networks 69, 44-50, 2015
362015
Boundedness and convergence of split-complex back-propagation algorithm with momentum and penalty
H Zhang, D Xu, Y Zhang
Neural processing letters 39, 297-307, 2014
302014
Convergence analysis of three classes of split-complex gradient algorithms for complex-valued recurrent neural networks
D Xu, H Zhang, L Liu
Neural computation 22 (10), 2655-2677, 2010
292010
Learning algorithms in quaternion neural networks using ghr calculus
D Xu, L Zhang, H Zhang
Neural Network World 27 (3), 271, 2017
282017
Convergence analysis of fully complex backpropagation algorithm based on Wirtinger calculus
H Zhang, X Liu, D Xu, Y Zhang
Cognitive neurodynamics 8, 261-266, 2014
202014
A new adaptive momentum algorithm for split-complex recurrent neural networks
D Xu, H Shao, H Zhang
Neurocomputing 93, 133-136, 2012
172012
Convergence analysis of AdaBound with relaxed bound functions for non-convex optimization
J Liu, J Kong, D Xu, M Qi, Y Lu
Neural Networks 145, 300-307, 2022
162022
Relaxed conditions for convergence of batch BPAP for feedforward neural networks
H Shao, J Wang, L Liu, D Xu, W Bao
Neurocomputing 153, 174-179, 2015
162015
Convergence of gradient method for Elman networks
W Wu, D Xu, Z Li
Applied Mathematics and Mechanics 29 (9), 1231-1238, 2008
162008
Convergence of gradient descent algorithm for diagonal recurrent neural networks
D Xu, Z Li, W Wu, X Ding, D Qu
2007 Second International Conference on Bio-Inspired Computing: Theories and …, 2007
142007
Convergence of gradient method for a fully recurrent neural network
D Xu, Z Li, W Wu
Soft Computing 14, 245-250, 2010
122010
Convergence of gradient descent algorithm for a recurrent neuron
D Xu, Z Li, W Wu, X Ding, D Qu
Advances in Neural Networks–ISNN 2007: 4th International Symposium on Neural …, 2007
12*2007
Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks
H Zhang, Y Zhang, S Zhu, D Xu
Neurocomputing 407, 185-193, 2020
112020
Convergence of an online gradient method with inner-product penalty and adaptive momentum
H Shao, D Xu, G Zheng, L Liu
Neurocomputing 77 (1), 243-252, 2012
112012
The augmented complex-valued extreme learning machine
H Zhang, Y Wang, D Xu, J Wang, L Xu
Neurocomputing 311, 363-372, 2018
92018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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