Name
Title | ||
|---|---|---|
Takagi-Sugeno-Kang Transfer Learning Fuzzy Logic System for the Adaptive Recognition of Epileptic Electroencephalogram Signals. |
Abstract | ||
|---|---|---|
The intelligent recognition of electroencephalogram (EEG) signals has become an important approach to the detection of epilepsy. Among existing intelligent identification methods, fuzzy logic systems (FLSs) have shown a distinctive advantage in identifying epileptic EEG signals because of their strong learning abilities and interpretability. Like many conventional intelligent methods for recognizi... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TFUZZ.2015.2501438 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Electroencephalography,Feature extraction,Learning systems,Epilepsy,Training,Brain models | Transduction (machine learning),Interpretability,Pattern recognition,Binary classification,Computer science,Transfer of learning,Feature extraction,Artificial intelligence,Independent and identically distributed random variables,Machine learning,Electroencephalography,Multiclass classification | Journal |
Volume | Issue | ISSN |
24 | 5 | 1063-6706 |
Citations | PageRank | References |
18 | 0.81 | 36 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changjian Yang | 1 | 25 | 1.25 |
| Zhaohong Deng | 2 | 647 | 35.34 |
| Kup-Sze Choi | 3 | 526 | 47.41 |
| Shitong Wang | 4 | 1485 | 109.13 |