Name
Title | ||
|---|---|---|
A fuzzy neural network system based on generalized class cover and particle swarm optimization |
Abstract | ||
|---|---|---|
A voting-mechanism-based fuzzy neural network system is proposed in this paper. When constructing the network structure, a generalized class cover problem is presented and its two solving algorithm, an improved greedy algorithm and a binary particle swarm optimization algorithm, are proposed to get the class covers with relatively even radii, which are used to partition fuzzy input space and extract fewer robust fuzzy IF-THEN rules. Meanwhile, a weighted Mamdani inference mechanism is adopted to improve the efficiency of the system output and a real-valued particle swarm optimization-based algorithm is used to refine the system parameters. Experimental results show that the system is feasible and effective. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11538356_13 | ICIC (2) |
Keywords | Field | DocType |
network structure,system parameter,improved greedy algorithm,optimization-based algorithm,system output,fuzzy neural network system,fewer robust fuzzy if-then,binary particle swarm optimization,voting-mechanism-based fuzzy neural network,fuzzy input space,generalized class cover problem,fuzzy neural network,greedy algorithm | Particle swarm optimization,Neuro-fuzzy,Mathematical optimization,Computer science,Swarm intelligence,Fuzzy logic,Greedy algorithm,Multi-swarm optimization,Artificial intelligence,Adaptive neuro fuzzy inference system,Artificial neural network,Machine learning | Conference |
Volume | ISSN | ISBN |
3645 | 0302-9743 | 3-540-28227-0 |
Citations | PageRank | References |
2 | 0.60 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanxin Huang | 1 | 128 | 9.83 |
| Yan Wang | 2 | 143 | 18.74 |
| Wengang Zhou | 3 | 10 | 1.78 |
| Zhezhou Yu | 4 | 22 | 5.50 |
| Chunguang Zhou | 5 | 543 | 52.37 |