Name
Abstract | ||
|---|---|---|
In this study, we present a comprehensible classifier AFSNN that embeds a new type of coherence membership function, which builds upon the theoretical findings of the axiomatic fuzzy set (AFS) theory into the hidden layer of neural network with random weights (NNRWs). Borrowing from the idea of NNRWs that employs the random initialization technique, the relation among attributes, simple concepts, ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TFUZZ.2017.2788875 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Artificial neural networks,Fuzzy sets,Semantics,Smart phones,Electronic mail | Axiom,Learning vector quantization,Fuzzy logic,Fuzzy set,Artificial intelligence,Initialization,Classifier (linguistics),Artificial neural network,Membership function,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
26 | 5 | 1063-6706 |
Citations | PageRank | References |
3 | 0.40 | 29 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Duan Xiaodong | 1 | 85 | 16.18 |
| Yuangang Wang | 2 | 28 | 4.50 |
| W. Pedrycz | 3 | 13966 | 1005.85 |
| Xiaodong Liu | 4 | 492 | 28.50 |
| Cun-rui Wang | 5 | 19 | 5.21 |
| Zedong Li | 6 | 22 | 3.39 |