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Lookup NU author(s): Zainal Ahmad, Dr Jie ZhangORCiD
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Different methods for combining multiple neural networks in order to improve model long range prediction performance are compared in this paper. It is shown that combining multiple non-perfect neural networks can improve model predictions, especially long range predictions. Among the different approaches, the principal component regression based approaches generally give very good performance. Selective combination is also very beneficial to the improvement of model predictions.
Author(s): Zhang J; Ahmad Z
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: International Conference on Control Applications
Year of Conference: 2002
Pages: 966-971
ISSN: 1085-1992
Publisher: IEEE
URL: http://dx.doi.org/10.1109/CCA.2002.1038733
DOI: 10.1109/CCA.2002.1038733
Library holdings: Search Newcastle University Library for this item
ISBN: 0780373863
