Training product unit networks using cooperative particle swarm optimisers
- 13 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 126-131
- https://doi.org/10.1109/ijcnn.2001.939004
Abstract
The Cooperative Particle Swarm Optimiser (CPSO) is a variant of the Particle Swarm Optimiser (PSO) that splits the problem vector, for example a neural network weight vector, across several swarms. This paper investigates the influence that the number of swarms used (also called the split factor) has on the training performance of a Product Unit Neural Network. Results are presented, comparing the training performance of the two algorithms, PSO and CPSO, as applied to the task of training the weight vector of a Product Unit Neural Network.Keywords
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