Adaptive regularizer for recursive neural network training algorithms
Adaptive Marquardt parameter correction techniques are tested for recursive Levenberg-Marquardt (RLM) and proposed novel application on decomposed recursive Levenberg Marquardt (DRLM) algorithms. The adaptive Marquardt correction is based on recursive moving-window residual. Experiment results show...
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| Format: | Conference or Workshop Item |
| Published: |
2008
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| Online Access: | http://eprints.utp.edu.my/259/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-55849101672&partnerID=40&md5=269731419c26dfaff29ed744ee54d2b9 http://eprints.utp.edu.my/259/ |
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