nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Accelerating deep learning with memcomputing
|
Manukian, Haik |
|
2019 |
110 |
C |
p. 1-7 |
artikel |
2 |
A compact network learning model for distribution regression
|
Kou, Connie Khor Li |
|
2019 |
110 |
C |
p. 199-212 |
artikel |
3 |
A comparison of deep networks with ReLU activation function and linear spline-type methods
|
Eckle, Konstantin |
|
2019 |
110 |
C |
p. 232-242 |
artikel |
4 |
ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition
|
Zhong, Zhisheng |
|
2019 |
110 |
C |
p. 104-115 |
artikel |
5 |
A density-based competitive data stream clustering network with self-adaptive distance metric
|
Xu, Baile |
|
2019 |
110 |
C |
p. 141-158 |
artikel |
6 |
A hypothetical neural network model for generation of human precision grip
|
Moritani, Yuki |
|
2019 |
110 |
C |
p. 213-224 |
artikel |
7 |
Announcement
|
|
|
2019 |
110 |
C |
p. I |
artikel |
8 |
Announcement
|
|
|
2019 |
110 |
C |
p. iii-viii |
artikel |
9 |
Announcement
|
|
|
2019 |
110 |
C |
p. II |
artikel |
10 |
Announcement
|
|
|
2019 |
110 |
C |
p. ix-xii |
artikel |
11 |
Concept learning through deep reinforcement learning with memory-augmented neural networks
|
Shi, Jing |
|
2019 |
110 |
C |
p. 47-54 |
artikel |
12 |
Editorial Board
|
|
|
2019 |
110 |
C |
p. ii |
artikel |
13 |
Emergent neural turing machine and its visual navigation
|
Zheng, Zejia |
|
2019 |
110 |
C |
p. 116-130 |
artikel |
14 |
Ensemble Neural Networks (ENN): A gradient-free stochastic method
|
Chen, Yuntian |
|
2019 |
110 |
C |
p. 170-185 |
artikel |
15 |
Estimating coupling strength between multivariate neural series with multivariate permutation conditional mutual information
|
Wen, Dong |
|
2019 |
110 |
C |
p. 159-169 |
artikel |
16 |
Event-triggered impulsive control on quasi-synchronization of memristive neural networks with time-varying delays
|
Zhou, Yufeng |
|
2019 |
110 |
C |
p. 55-65 |
artikel |
17 |
Heterogeneity of synaptic input connectivity regulates spike-based neuronal avalanches
|
Wu, Shengdun |
|
2019 |
110 |
C |
p. 91-103 |
artikel |
18 |
Kafnets: Kernel-based non-parametric activation functions for neural networks
|
Scardapane, Simone |
|
2019 |
110 |
C |
p. 19-32 |
artikel |
19 |
Luminance gradients and non-gradients as a cue for distinguishing reflectance and illumination in achromatic images: A computational approach
|
Lerer, Alejandro |
|
2019 |
110 |
C |
p. 66-81 |
artikel |
20 |
Modulations of dendritic Ca 2 + spike with weak electric fields in layer 5 pyramidal cells
|
Yi, Guosheng |
|
2019 |
110 |
C |
p. 8-18 |
artikel |
21 |
Particle swarm optimization for network-based data classification
|
Carneiro, Murillo G. |
|
2019 |
110 |
C |
p. 243-255 |
artikel |
22 |
Regularization of deep neural networks with spectral dropout
|
Khan, Salman H. |
|
2019 |
110 |
C |
p. 82-90 |
artikel |
23 |
Research on a learning rate with energy index in deep learning
|
Zhao, Huizhen |
|
2019 |
110 |
C |
p. 225-231 |
artikel |
24 |
Saliency model based on a neural population for integrating figure direction and organizing Border Ownership
|
Wagatsuma, Nobuhiko |
|
2019 |
110 |
C |
p. 33-46 |
artikel |
25 |
Synchronization-induced spike termination in networks of bistable neurons
|
Uzuntarla, Muhammet |
|
2019 |
110 |
C |
p. 131-140 |
artikel |
26 |
Synchronization in uncertain fractional-order memristive complex-valued neural networks with multiple time delays
|
Zhang, Weiwei |
|
2019 |
110 |
C |
p. 186-198 |
artikel |