- Tytuł:
- Reservoir computing and data visualisation
- Autorzy:
-
Ashour, W.
Wang, T. D.
Fyfe, C. - Powiązania:
- https://bibliotekanauki.pl/articles/91852.pdf
- Data publikacji:
- 2012
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
reservoir computing
data visualisation
time series
Echo State Networks
ESNs
multidimensional scaling criterion
fixed latent space - Opis:
- We consider the problem of visualisation of high dimensional multivariate time series. A data analyst in creating a two dimensional projection of such a time series might hope to gain some intuition into the structure of the original high dimensional data set. We review a method for visualising time series data using an extension of Echo State Networks (ESNs).The method uses the multidimensional scaling criterion in order to create a visualisation of the time series after its representation in the reservoir of the ESN. We illustrate the method with two dimensional maps of a financial time series. The method is then compared with a mapping which uses a fixed latent space and a novel objective function.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2012, 2, 3; 215-222
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł