Name
Title | ||
|---|---|---|
Enhanced artificial bee colony for training least squares support vector machines in commodity price forecasting. |
Abstract | ||
|---|---|---|
•Hybrid enhanced artificial bee colony-least squares support vector machines (eABC-LSSVM) for energy fuels price prediction.•Conventional mutation in ABC for preventing over fitting.•Levy mutation in ABC to enrich the searching behavior of the bees in search space.•Hybrid eABC for tuning LSSVM hyper parameters. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jocs.2013.11.004 | Journal of Computational Science |
Keywords | Field | DocType |
Artificial bee colony,Commodity price forecasting,Least squares support vector machines,Levy probability distribution | Least squares,Time series,Least squares support vector machine,Commodity,Computer science,Swarm intelligence,Support vector machine,Artificial intelligence,Overfitting,Genetic algorithm,Machine learning | Journal |
Volume | Issue | ISSN |
5 | 2 | 1877-7503 |
Citations | PageRank | References |
7 | 0.57 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zuriani Mustaffa | 1 | 24 | 3.20 |
| Yuhanis Yusof | 2 | 27 | 8.35 |
| Siti Sakira Kamaruddin | 3 | 16 | 3.41 |