Text · dataset · 2025
Long-term prediction of nonlinear time series
Listed in NASA Data Portal
This paper is about applying recurrent least squares support vector machines (LS-SVM) on three ESTSP08 competition datasets.
Description
Least squares support vector machines are used as nonlinear models in order to avoid local minima problems. Then prediction task is re-formulated as function approximation task.
Recurrent LS-SVM uses nonlinear autoregressive exogenous (NARX) model to build nonlinear regressor, by estimating in each iteration the next output value, given the past output and input measurements.
Links
Get the data
- I._Jaganjac_ESTSP08.pdf c3.nasa.gov/dashlink/static/media/publication/I._Jaganjac_ESTSP08.pdf ↗
download · from data nasa gov
Where it is published
- NASA Data Portal dataset page data.nasa.gov/dataset/long-term-prediction-of-nonlinear-time-series ↗
landing page · from data nasa gov
Catalogue records · 1
- CKAN API data.nasa.gov/api/3/action/package_show?id=0c3d7a81-8d8f-46db-866e-1a27c81da… ↗
metadata API · from data nasa gov
Topics
- Inferred from text
- Time-series analysis 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NASA Data Portal | 0c3d7a81-8d8f-46db-866e-1a27c81dac1e | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:380205 | enrichment · data nasa gov | taxonomy-embedding@1.1.0 | title+keywords+description (75%) |
| created_date | source · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| description | source · data nasa gov | connector:data_nasa_gov@1.0.0 | /notes |
| license_text | source · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| publication_date | source · data nasa gov | connector:data_nasa_gov@1.0.0 | |
| title | source · data nasa gov | connector:data_nasa_gov@1.0.0 | /title |
| updated_date | source · data nasa gov | connector:data_nasa_gov@1.0.0 |