Name
Abstract | ||
|---|---|---|
•Rotation Forest (RF) algorithm is based on Decision Tree (DT) classifiers.•RF achieves to a similar performance with hybrid NNs.•In this paper, RF (hybrid NNs) is designed by combining two efficient phenomena.•For this purpose, we examine the use of hybrid NNs as the base classifiers of RF.•Test process is realized on binary-medical pattern classification.•RF (hybrid NNs) is compared with base, hybrid and ensemble classifiers.•As a result, RF (ScPSO-NN) comes to the forefront for classification task. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jksuci.2017.10.011 | Journal of King Saud University - Computer and Information Sciences |
Keywords | DocType | Volume |
Rotation Forest,Particle Swarm Optimization,Artificial Bee Colony Optimization,Scout Particle Swarm Optimization,Hybrid classifiers | Journal | 31 |
Issue | ISSN | Citations |
2 | 1319-1578 | 2 |
PageRank | References | Authors |
0.40 | 18 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rahime Ceylan | 1 | 259 | 17.10 |
| Hasen Koyuncu | 2 | 14 | 4.84 |