Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
The Gravitational Search Algorithm (GSA) is a novel heuristic optimization method based on the law of gravity and mass interactions. It has been proven that this algorithm has good ability to search for the global optimum, but it suffers from slow searching speed in the last iterations. This work pr...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier
2012
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/33912/ http://dx.doi.org/10.1016/j.amc.2012.04.069 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|