Name
Title | ||
|---|---|---|
Multilayer Perceptron Networks Training Using Particle Swarm Optimization with Minimum Velocity Constraints |
Abstract | ||
|---|---|---|
Multilayer perceptron networks have been successfully trai- ned by error backpropagation algorithm. We show that Particle Swarm Optimization(PSO) with minimum velocity constraints can efficiently be applied to train multilayer perceptrons to overcome premature convergence and alleviates the influence of dimensionality increasing. The experiments of two multilayer perceptrons trained by PSO with minimum velocity constraints are carried out. The result clearly demonstrate the improvement of the proposed algorithm over the standard PSO in terms of convergence. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72395-0_31 | ISNN (3) |
Keywords | Field | DocType |
multilayer perceptrons,minimum velocity constraint,particle swarm optimization,multilayer perceptron network,error backpropagation algorithm,premature convergence,multilayer perceptron networks training,minimum velocity constraints,standard pso,proposed algorithm,backpropagation algorithm,multilayer perceptron | Convergence (routing),Particle swarm optimization,Mathematical optimization,Premature convergence,Computer science,Curse of dimensionality,Multilayer perceptron,Artificial intelligence,Backpropagation,Perceptron,Machine learning | Conference |
Volume | ISSN | Citations |
4493 | 0302-9743 | 1 |
PageRank | References | Authors |
0.38 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaorong Pu | 1 | 85 | 11.17 |
| Zhongjie Fang | 2 | 4 | 0.83 |
| Yongguo Liu | 3 | 156 | 18.45 |