no |
title |
author |
magazine |
year |
volume |
issue |
page(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. |
article |
2 |
A new Growing Neural Gas for clustering data streams
|
Ghesmoune, Mohammed |
|
2016 |
78 |
C |
p. 36-50 15 p. |
article |
3 |
Editorial Board
|
|
|
2016 |
78 |
C |
p. IFC- 1 p. |
article |
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. |
article |
5 |
Hadoop neural network for parallel and distributed feature selection
|
Hodge, Victoria J. |
|
2016 |
78 |
C |
p. 24-35 12 p. |
article |
6 |
Learning to decode human emotions with Echo State Networks
|
Bozhkov, Lachezar |
|
2016 |
78 |
C |
p. 112-119 8 p. |
article |
7 |
Least square neural network model of the crude oil blending process
|
Rubio, José de Jesús |
|
2016 |
78 |
C |
p. 88-96 9 p. |
article |
8 |
Machine learning based sample extraction for automatic speech recognition using dialectal Assamese speech
|
Agarwalla, Swapna |
|
2016 |
78 |
C |
p. 97-111 15 p. |
article |
9 |
Noise-enhanced convolutional neural networks
|
Audhkhasi, Kartik |
|
2016 |
78 |
C |
p. 15-23 9 p. |
article |
10 |
Scalable learning method for feedforward neural networks using minimal-enclosing-ball approximation
|
Wang, Jun |
|
2016 |
78 |
C |
p. 51-64 14 p. |
article |
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. |
article |