|
| << vorige | volgende >> |
Tijdschrift beschrijving
Alle jaargangen van het bijbehorende tijdschrift
Alle afleveringen van het bijbehorende jaargang
Alle artikelen van de bijbehorende aflevering
Details van artikel 41 van 46 gevonden artikelen
| Titel: |
The Method of the Least Reduction in Oil Reservoir Based on Rough Set Particle Swarm |
| Auteur: |
Hongjie Liu Boqin Feng Jianjie Wei |
| Verschenen in: |
Information technology journal |
| Paginering: | Jaargang 6 (2007) nr. 6 pagina's 865-871 |
| Jaar: |
2007 |
| Inhoud: |
In the oil reservoir prediction, it is not that the more index variables of seismic data, the better effect of classification is. On the contrary, the classification accuracy will reduce because of the redundant index variable influenced by the calculation error. Therefor, a method of the least reduction of oil reservoir data is presented in this study. In this method, we directly adopt the dependency of rough set and PSO algorithm by binary encoding, which make the two algorithm organic affiliated. The actual application on the data of oil reservoir not only shows that using this method presented in this paper achieves very notable effect, but also shows that this method has great actual meaning to further construct higher efficient attribute reduction method. |
| Uitgever: |
Asian Network for Scientific Information (provided by DOAJ) |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 41 van 46 gevonden artikelen
| << vorige | volgende >> |