Name
Title | ||
|---|---|---|
Application of Belief Functions Theory to Non Destructive Testing of Industrial Pieces. |
Abstract | ||
|---|---|---|
In this contribution we present a classification method based on the evidence theory where a comparison between modeling with and without conflict is presented as well as a comparison between the orthogonal and cautious fusion rules. The classification rules are compared to the state of the art support vector machine classifier on an industrial ultrasonic dataset. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-11191-9_23 | Belief Functions |
Keywords | Field | DocType |
non destructive testing | Data mining,Support vector machine classifier,Nondestructive testing,Fusion rules,Engineering | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmad Osman | 1 | 0 | 1.35 |
| Valérie Kaftandjian | 2 | 33 | 3.73 |
| Ulf Hassler | 3 | 6 | 2.24 |