Efficient sequential and batch learning artificial neural network methods for classification problems
This thesis focuses on the developemnt and applications of efficient sequential and batch learning artificial neural network methods for classification problems.
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2008
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Online Access: | https://hdl.handle.net/10356/3468 |
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sg-ntu-dr.10356-34682023-07-04T17:11:40Z Efficient sequential and batch learning artificial neural network methods for classification problems Zhang, Runxuan Narasimhan Sundararajan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This thesis focuses on the developemnt and applications of efficient sequential and batch learning artificial neural network methods for classification problems. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:30:39Z 2008-09-17T09:30:39Z 2006 2006 Thesis Zhang, R. (2006).Efficient sequential and batch learning artificial neural network methods for classification problems. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3468 10.32657/10356/3468 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Zhang, Runxuan Efficient sequential and batch learning artificial neural network methods for classification problems |
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This thesis focuses on the developemnt and applications of efficient sequential and batch learning artificial neural network methods for classification problems. |
author2 |
Narasimhan Sundararajan |
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Narasimhan Sundararajan Zhang, Runxuan |
format |
Theses and Dissertations |
author |
Zhang, Runxuan |
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Zhang, Runxuan |
title |
Efficient sequential and batch learning artificial neural network methods for classification problems |
title_short |
Efficient sequential and batch learning artificial neural network methods for classification problems |
title_full |
Efficient sequential and batch learning artificial neural network methods for classification problems |
title_fullStr |
Efficient sequential and batch learning artificial neural network methods for classification problems |
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Efficient sequential and batch learning artificial neural network methods for classification problems |
title_sort |
efficient sequential and batch learning artificial neural network methods for classification problems |
publishDate |
2008 |
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https://hdl.handle.net/10356/3468 |
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1772826767174664192 |