Name
Title | ||
|---|---|---|
A Fuzzy Neural Network Based on Particle Swarm Optimization Applied in the Speech Recognition System |
Abstract | ||
|---|---|---|
Aim to the problems of fuzzy neural network depending on the initial conditions, the training time long, and being easy to fall into local minimum, this paper studied the combination of particle swarm optimization and fuzzy neural network, presented a fuzzy neural network model based on particle swarm optimization, and applied it in speech recognition system. This model improved the convergence speed of speech recognition system. The experimental results show that the system is feasible and effective. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISDA.2008.259 | ISDA (2) |
Keywords | DocType | Citations |
convergence speed,particle swarm optimization,Particle Swarm Optimization Applied,fuzzy neural network model,Speech Recognition System,fuzzy neural network,speech recognition system,training time,Fuzzy Neural Network,initial condition,local minimum,experimental result | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xueying Zhang | 1 | 2 | 2.08 |
| Ying Sun | 2 | 0 | 0.68 |
| Xiaomei Zhang | 3 | 0 | 0.68 |
| Peng Wang | 4 | 0 | 0.68 |