Name
Abstract | ||
|---|---|---|
In this paper, we proposed an enhanced fuzzy single layer learning algorithm using the dynamic adjustment of threshold. For performance evaluation, the proposed method was applied to the XOR problem, which is used as a benchmark in the field of pattern recognition, and the recognition of digital image in a practical image processing application. As a result of experiment, though the method does not always guarantee the convergence, it shows the improved learning time and the high convergence rate. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11751595_19 | ICCSA (3) |
Keywords | Field | DocType |
practical image processing application,pattern recognition,digital image,high convergence rate,dynamic adjustment,improved learning time,enhanced fuzzy single layer,xor problem,automatic tuning,performance evaluation,image processing,convergence rate | Convergence (routing),Computer science,Fuzzy logic,Image processing,Algorithm,Digital image,Automatic tuning,Rate of convergence,Xor problem | Conference |
Volume | ISSN | ISBN |
3982 | 0302-9743 | 3-540-34075-0 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| kwangbaek kim | 1 | 110 | 43.94 |
| Byung-Kwan Lee | 2 | 0 | 0.68 |
| Soonho Kim | 3 | 4 | 1.40 |