Training feedforward neural networks using multi-phase particle swarm optimization

B. Al-Kazemi; C. K. Mohan

doi:10.1109/ICONIP.2002.1201969

Training feedforward neural networks using multi-phase particle swarm optimization

B. Al-Kazemi, C. K. Mohan

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

62 Scopus citations

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	https://doi.org/10.1109/ICONIP.2002.1201969
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

Access to Document

10.1109/ICONIP.2002.1201969

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Al-Kazemi, B., & Mohan, C. K. (2002). Training feedforward neural networks using multi-phase particle swarm optimization. In ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (Vol. 5, pp. 2615-2619). Article 1201969 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1201969

Training feedforward neural networks using multi-phase particle swarm optimization. / Al-Kazemi, B.; Mohan, C. K.
ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 5 Institute of Electrical and Electronics Engineers Inc., 2002. p. 2615-2619 1201969.

Research output: Chapter in Book/Entry/Poem › Conference contribution

Al-Kazemi, B & Mohan, CK 2002, Training feedforward neural networks using multi-phase particle swarm optimization. in ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. vol. 5, 1201969, Institute of Electrical and Electronics Engineers Inc., pp. 2615-2619, 9th International Conference on Neural Information Processing, ICONIP 2002, Singapore, Singapore, 11/18/02. https://doi.org/10.1109/ICONIP.2002.1201969

Al-Kazemi B, Mohan CK. Training feedforward neural networks using multi-phase particle swarm optimization. In ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 5. Institute of Electrical and Electronics Engineers Inc. 2002. p. 2615-2619. 1201969 doi: 10.1109/ICONIP.2002.1201969

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Training feedforward neural networks using multi-phase particle swarm optimization

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