A new algorithm for training multilayer perceptrons
- 13 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
A fast version of the packpropagation algorithm based on the recursive least squares (RLS) technique is introduced. The added storage requirement and computation associated with RLS can be easily incorporated into the network architecture, and consequently the algorithm is still local. The enhanced algorithm performs consistently better than the backpropagation algorithm in a set of simulations involving two benchmark problems.Keywords
This publication has 2 references indexed in Scilit:
- Fast learning process of multi-layer neural nets using recursive least squares techniquePublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Increased rates of convergence through learning rate adaptationNeural Networks, 1988