Adaptive regularizer for recursive neural network training algorithms

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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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Bibliographic Details
Main Author:	Asirvadam, Vijanth Sagayan
Format:	Conference or Workshop Item
Language:	English
Published:	2008
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://scholars.utp.edu.my/id/eprint/259/ http://scholars.utp.edu.my/id/eprint/259/1/paper.pdf

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