Name
Abstract | ||
|---|---|---|
Intelligent computing technologies are useful and important for online data modeling, where system dynamics may be nonstationary with some uncertainties. In this paper, an efficient learning mechanism is developed for building self-organizing fuzzy neural networks (SOFNNs), where a second-order algorithm (SOA) with adaptive learning rate is employed, the network size and the parameters can be dete... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCYB.2017.2762521 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Fuzzy neural networks,Semiconductor optical amplifiers,Algorithm design and analysis,Convergence,Neurons,Approximation algorithms,Data models | Intelligent control,Data modeling,Neuro-fuzzy,Algorithm design,Fuzzy logic,Algorithm,Types of artificial neural networks,Time delay neural network,Artificial intelligence,Adaptive neuro fuzzy inference system,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
49 | 1 | 2168-2267 |
Citations | PageRank | References |
6 | 0.41 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong-Gui Han | 1 | 476 | 39.06 |
| Lu Zhang | 2 | 163 | 40.09 |
| Xiao-Long Wu | 3 | 30 | 2.77 |
| Jun-Fei Qiao | 4 | 798 | 74.56 |