Name
Abstract | ||
|---|---|---|
•A solution for consequent learning in neuro-fuzzy models.•An elastic memory learning (EML) concept to solve the forgetting challenge with unbalanced classes in the online stream.•Two methods for EML with different trade-off between.•Extensive empirical comparison and evaluation of various models using our incremental learning framework. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2018.02.022 | Applied Soft Computing |
Keywords | Field | DocType |
Incremental learning,Online learning,Neuro-fuzzy models,Takagi–Sugeno fuzzy model,Elastic memory learning,Classification | Forgetting,Forgetting factor,Data stream,Incremental learning,Fuzzy inference,Artificial intelligence,Confidence interval,Memory learning,Recursive least squares filter,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
67 | C | 1568-4946 |
Citations | PageRank | References |
1 | 0.35 | 31 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marta Reznáková | 1 | 20 | 4.02 |
| Lukas Tencer | 2 | 26 | 3.78 |
| Mohamed Cheriet | 3 | 2047 | 238.58 |