Parallel and Separable Recursive Levenberg- Marquardt Training Algorithm

A novel decomposed recursive Levenberg Marquardt (RLM) algorithm is derived for the training of feedforward neural networks. By neglecting interneuron weight correlations the recently proposed RLM training algorithm can be decomposed at neuron level enabling weights to be updated in an efficient par...

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Bibliographic Details
Main Authors: Asirvadam , Vijanth Sagayan, McLoone, Sean, Irwin, George
Other Authors: Herve , Bourlard
Format: Book Section
Published: IEEE Press 2002
Subjects:
Online Access:http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1030011
http://eprints.utp.edu.my/3827/
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