Enhanced conjugate gradient methods for training MLP-networks
The paper investigates the enhancement in various conjugate gradient training algorithms applied to a multilayer perceptron (MLP) neural network architecture. The paper investigates seven different conjugate gradient algorithms proposed by different researchers from 1952-2005, the classical batch ba...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
2010
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Subjects: | |
Online Access: | http://eprints.utp.edu.my/4632/1/05703989.pdf http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5703989 http://eprints.utp.edu.my/4632/ |
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