Name
Title | ||
|---|---|---|
Ensemble of evolving data clouds and fuzzy models for weather time series prediction. |
Abstract | ||
|---|---|---|
•Prediction of weather time series using an ensemble of evolving intelligent models.•Incremental learning based on the concepts of typicality, eccentricity and clouds.•Nonparametric feature selection method using real data from meteorological stations.•Accurate and granular time-varying predictors were obtained.•Assistance in decision making in many application domains. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2017.12.032 | Applied Soft Computing |
Keywords | Field | DocType |
Ensemble learning,Data clouds,Evolving fuzzy systems,Weather time series prediction,Online data stream | Data mining,Time series,Nonlinear system,Fuzzy logic,A priori and a posteriori,Operator (computer programming),Artificial intelligence,Spearman's rank correlation coefficient,Mathematics,Machine learning,Cloud cover,Cloud computing | Journal |
Volume | ISSN | Citations |
64 | 1568-4946 | 8 |
PageRank | References | Authors |
0.49 | 25 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eduardo Soares | 1 | 15 | 1.45 |
| Pyramo Costa Jr. | 2 | 70 | 5.10 |
| Bruno Costa | 3 | 36 | 7.51 |
| Daniel Leite | 4 | 140 | 8.48 |