Abstract
The multi-phase particle swarm optimization algorithm (MPPSO) is a variant of the particle swarm optimization algorithm. It simultaneously evolves multiple groups of particles that change their search criterion when changing the phases, and also incorporates hill-climbing. This paper examines the applicability of MPPSO in training feedforward neural network.
Original language | English (US) |
---|---|
Title of host publication | ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2615-2619 |
Number of pages | 5 |
Volume | 5 |
ISBN (Electronic) | 9810475241, 9789810475246 |
DOIs | |
State | Published - 2002 |
Event | 9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore Duration: Nov 18 2002 → Nov 22 2002 |
Other
Other | 9th International Conference on Neural Information Processing, ICONIP 2002 |
---|---|
Country/Territory | Singapore |
City | Singapore |
Period | 11/18/02 → 11/22/02 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Signal Processing