Modelling of the Relaxation Least Squares-Based Neural Networks and Its Application

Modelling of the Relaxation Least Squares-Based Neural Networks and Its Application

A relaxation least squares-based learning algorithm for neural networks is proposed. Not only does it have a fast convergence rate, but it involves less computation quantity. Therefore, it is suitable to deal with the case when a network has a large scale but the number of training data is very limi...

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Veröffentlicht in:Journal of systems engineering and electronics 2002-06, Vol.13 (2), p.16-21
Hauptverfasser: Lu, Kongkuo, Chen, Zengqiang, Yuan, Zhuzhi
Format: Artikel
Sprache:eng
Schlagworte:
Converting
Davidon
furnace
least
network
Neural
process
Relaxation
square
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Zusammenfassung:A relaxation least squares-based learning algorithm for neural networks is proposed. Not only does it have a fast convergence rate, but it involves less computation quantity. Therefore, it is suitable to deal with the case when a network has a large scale but the number of training data is very limited. It has been used in converting furnace process modelling, and impressive result has been obtained.
ISSN:1004-4132