| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An unsupervised parameter learning model for RVFL neural network
|
Zhang, Yongshan
|
|
2019
|
112 |
C |
p. 85-97
|
artikel
|
| 2 |
A robust outlier control framework for classification designed with family of homotopy loss function
|
Wang, Yidan
|
|
2019
|
112 |
C |
p. 41-53
|
artikel
|
| 3 |
A small-world topology enhances the echo state property and signal propagation in reservoir computing
|
Kawai, Yuji
|
|
2019
|
112 |
C |
p. 15-23
|
artikel
|
| 4 |
A stochastic variational framework for Recurrent Gaussian Processes models
|
Mattos, César Lincoln C.
|
|
2019
|
112 |
C |
p. 54-72
|
artikel
|
| 5 |
Corrigendum to “Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors” [Neural Netw. 91 (2017) 76–84]
|
Gorman, Chris
|
|
2019
|
112 |
C |
p. 98
|
artikel
|
| 6 |
Current Events
|
|
|
2019
|
112 |
C |
p. I
|
artikel
|
| 7 |
Disturbance and uncertainty rejection performance for fractional-order complex dynamical networks
|
Selvaraj, P.
|
|
2019
|
112 |
C |
p. 73-84
|
artikel
|
| 8 |
Dreaming neural networks: Forgetting spurious memories and reinforcing pure ones
|
Fachechi, Alberto
|
|
2019
|
112 |
C |
p. 24-40
|
artikel
|
| 9 |
Editorial Board
|
|
|
2019
|
112 |
C |
p. ii
|
artikel
|
| 10 |
Membership Applic. Form
|
|
|
2019
|
112 |
C |
p. II
|
artikel
|
| 11 |
Robust dimensionality reduction via feature space to feature space distance metric learning
|
Li, Bo
|
|
2019
|
112 |
C |
p. 1-14
|
artikel
|
Tijdschrift beschrijving