| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A decentralized training algorithm for Echo State Networks in distributed big data applications
|
Scardapane, Simone
|
|
2016
|
78 |
C |
p. 65-74
10 p.
|
artikel
|
| 2 |
A new Growing Neural Gas for clustering data streams
|
Ghesmoune, Mohammed
|
|
2016
|
78 |
C |
p. 36-50
15 p.
|
artikel
|
| 3 |
Editorial Board
|
|
|
2016
|
78 |
C |
p. IFC-
1 p.
|
artikel
|
| 4 |
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications
|
Kasabov, Nikola
|
|
2016
|
78 |
C |
p. 1-14
14 p.
|
artikel
|
| 5 |
Hadoop neural network for parallel and distributed feature selection
|
Hodge, Victoria J.
|
|
2016
|
78 |
C |
p. 24-35
12 p.
|
artikel
|
| 6 |
Learning to decode human emotions with Echo State Networks
|
Bozhkov, Lachezar
|
|
2016
|
78 |
C |
p. 112-119
8 p.
|
artikel
|
| 7 |
Least square neural network model of the crude oil blending process
|
Rubio, José de Jesús
|
|
2016
|
78 |
C |
p. 88-96
9 p.
|
artikel
|
| 8 |
Machine learning based sample extraction for automatic speech recognition using dialectal Assamese speech
|
Agarwalla, Swapna
|
|
2016
|
78 |
C |
p. 97-111
15 p.
|
artikel
|
| 9 |
Noise-enhanced convolutional neural networks
|
Audhkhasi, Kartik
|
|
2016
|
78 |
C |
p. 15-23
9 p.
|
artikel
|
| 10 |
Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation
|
Wang, Jun
|
|
2016
|
78 |
C |
p. 51-64
14 p.
|
artikel
|
| 11 |
Smart sampling and incremental function learning for very large high dimensional data
|
Loyola R, Diego G.
|
|
2016
|
78 |
C |
p. 75-87
13 p.
|
artikel
|
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