2009 International Conference on Information Technology and Computer Science 2009
DOI: 10.1109/itcs.2009.65
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Cited by 7 publications
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“…Levenberg-Marquardt algorithm utilizes an adaptive learning rate and it does not show any oscillatory behavior during learning. The result analysis has clearly unfolded that Levenberg-Marquardt training algorithm with optimal network structure provides better classification with faster response, high error goal and less iteration which certainly agree with previous works [28], [29].…”
Section: Discussionsupporting
confidence: 87%
“…Levenberg-Marquardt algorithm utilizes an adaptive learning rate and it does not show any oscillatory behavior during learning. The result analysis has clearly unfolded that Levenberg-Marquardt training algorithm with optimal network structure provides better classification with faster response, high error goal and less iteration which certainly agree with previous works [28], [29].…”
Section: Discussionsupporting
confidence: 87%