Name
Abstract | ||
|---|---|---|
•Novel elastic, circling and attacking mechanisms are proposed in the AGWO.•30 benchmark functions in IEEE CEC 2014 are tested to demonstrate its advantages.•The proposed AGWO is used to train the artificial neural network to achieve a better performance.•The proposed AGWO is demonstrated by 7 classification and 3 function approximate datasets. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.114676 | Expert Systems with Applications |
Keywords | DocType | Volume |
Multi-layer perceptron (MLP),AGWO,Neural networks,Local stagnation,Classification problem | Journal | 173 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianqiu Meng | 1 | 0 | 0.34 |
| Jianhua Jiang | 2 | 14 | 2.65 |
| Huan Wang | 3 | 0 | 0.34 |