Name
Title | ||
|---|---|---|
Determining the joints most strained in an underactuated robotic finger by adaptive neuro-fuzzy methodology. |
Abstract | ||
|---|---|---|
•Kinetostatic analyzing of the new finger structure.•Selecting and analyzing of the most strained finger joints.•Variable selection based on using adaptive neuro-fuzzy inference system.•Improving the prediction performance of the predictors.•Providing the most influential parameters on the predictor. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.advengsoft.2014.07.007 | Advances in Engineering Software |
Keywords | Field | DocType |
Underactuated finger,Adaptive neuro fuzzy system,Kinetostatic analysis,Contacts forces,Variable selection,Estimation | Neuro-fuzzy,MATLAB,Torsion (mechanics),Feature selection,Stiffness,Computer science,Control theory,Torsion spring,Control engineering,Adaptive neuro fuzzy inference system,Underactuation | Journal |
Volume | ISSN | Citations |
77 | 0965-9978 | 2 |
PageRank | References | Authors |
0.36 | 14 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dalibor Petkovic | 1 | 223 | 20.91 |
| Shahaboddin Shamshirband | 2 | 512 | 53.36 |
| Nenad D. Pavlovic | 3 | 34 | 3.88 |
| Hadi Saboohi | 4 | 70 | 6.00 |
| Torki A. Altameem | 5 | 32 | 4.64 |
| Abdullah Gani | 6 | 106 | 8.63 |