| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Addiction beyond pharmacological effects: The role of environment complexity and bounded rationality
|
Ognibene, Dimitri
|
|
2019
|
116 |
C |
p. 269-278
|
artikel
|
| 2 |
A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems
|
Laredo, David
|
|
2019
|
116 |
C |
p. 178-187
|
artikel
|
| 3 |
An optimal time interval of input spikes involved in synaptic adjustment of spike sequence learning
|
Xu, Yan
|
|
2019
|
116 |
C |
p. 11-24
|
artikel
|
| 4 |
An unsupervised EEG decoding system for human emotion recognition
|
Liang, Zhen
|
|
2019
|
116 |
C |
p. 257-268
|
artikel
|
| 5 |
Bayesian rank penalization
|
Tang, Kewei
|
|
2019
|
116 |
C |
p. 246-256
|
artikel
|
| 6 |
BoSR: A CNN-based aurora image retrieval method
|
Yang, Xi
|
|
2019
|
116 |
C |
p. 188-197
|
artikel
|
| 7 |
Continuous learning in single-incremental-task scenarios
|
Maltoni, Davide
|
|
2019
|
116 |
C |
p. 56-73
|
artikel
|
| 8 |
Current Events
|
|
|
2019
|
116 |
C |
p. I
|
artikel
|
| 9 |
Current Events
|
|
|
2019
|
116 |
C |
p. II
|
artikel
|
| 10 |
Deep neural-kernel blocks
|
Mehrkanoon, Siamak
|
|
2019
|
116 |
C |
p. 46-55
|
artikel
|
| 11 |
Differential convolutional neural network
|
Sarıgül, M.
|
|
2019
|
116 |
C |
p. 279-287
|
artikel
|
| 12 |
DynMat, a network that can learn after learning
|
Lee, Jung Hoon
|
|
2019
|
116 |
C |
p. 88-100
|
artikel
|
| 13 |
Editorial Board
|
|
|
2019
|
116 |
C |
p. ii
|
artikel
|
| 14 |
Evolving neural networks to follow trajectories of arbitrary complexity
|
Inden, Benjamin
|
|
2019
|
116 |
C |
p. 224-236
|
artikel
|
| 15 |
Fixed-time pinning-controlled synchronization for coupled delayed neural networks with discontinuous activations
|
Lü, Hui
|
|
2019
|
116 |
C |
p. 139-149
|
artikel
|
| 16 |
Fixed-time synchronization of coupled memristor-based neural networks with time-varying delays
|
Yang, Chao
|
|
2019
|
116 |
C |
p. 101-109
|
artikel
|
| 17 |
Flexible non-greedy discriminant subspace feature extraction
|
Zhao, Henghao
|
|
2019
|
116 |
C |
p. 166-177
|
artikel
|
| 18 |
Identification of piecewise linear dynamical systems using physically-interpretable neural-fuzzy networks: Methods and applications to origami structures
|
Liu, Zuolin
|
|
2019
|
116 |
C |
p. 74-87
|
artikel
|
| 19 |
Multivariate LSTM-FCNs for time series classification
|
Karim, Fazle
|
|
2019
|
116 |
C |
p. 237-245
|
artikel
|
| 20 |
On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network
|
Xie, Yongfang
|
|
2019
|
116 |
C |
p. 1-10
|
artikel
|
| 21 |
Phase relations of theta oscillations in a computer model of the hippocampal CA1 field: Key role of Schaffer collaterals
|
Mysin, Ivan E.
|
|
2019
|
116 |
C |
p. 119-138
|
artikel
|
| 22 |
Photomontage detection using steganography technique based on a neural network
|
Jarusek, Robert
|
|
2019
|
116 |
C |
p. 150-165
|
artikel
|
| 23 |
Semi-supervised deep learning of brain tissue segmentation
|
Ito, Ryo
|
|
2019
|
116 |
C |
p. 25-34
|
artikel
|
| 24 |
Some generalized global stability criteria for delayed Cohen–Grossberg neural networks of neutral-type
|
Samli, Ruya
|
|
2019
|
116 |
C |
p. 198-207
|
artikel
|
| 25 |
Stability of stochastic impulsive reaction–diffusion neural networks with S-type distributed delays and its application to image encryption
|
Wei, Tengda
|
|
2019
|
116 |
C |
p. 35-45
|
artikel
|
| 26 |
Subrecursive neural networks
|
Šíma, Jiří
|
|
2019
|
116 |
C |
p. 208-223
|
artikel
|
| 27 |
The capacity of feedforward neural networks
|
Baldi, Pierre
|
|
2019
|
116 |
C |
p. 288-311
|
artikel
|
| 28 |
The place cell activity is information-efficient constrained by energy
|
Wang, Yihong
|
|
2019
|
116 |
C |
p. 110-118
|
artikel
|
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