Learning capabilities of neural networks
Up to now many neural network models have been proposed. In our study we focus on two kinds of feedforward networks: strictly feedforward networks and Kohonen's self-organizing mappings where lateral competition is introduced. The two kinds of feedforward networks have played a fundamental role...
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| التنسيق: | Theses and Dissertations |
| اللغة: | English |
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2008
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10356/13161 |
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sg-ntu-dr.10356-131612023-07-04T15:28:57Z Learning capabilities of neural networks Huang, Guangbin. School of Electrical and Electronic Engineering Haroon A Babri DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Up to now many neural network models have been proposed. In our study we focus on two kinds of feedforward networks: strictly feedforward networks and Kohonen's self-organizing mappings where lateral competition is introduced. The two kinds of feedforward networks have played a fundamental role in neural networks research and application. Doctor of Philosophy (EEE) 2008-08-26T04:29:08Z 2008-10-20T07:16:48Z 2008-08-26T04:29:08Z 2008-10-20T07:16:48Z 1998 1998 Thesis http://hdl.handle.net/10356/13161 en 182 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| continent |
Asia |
| country |
Singapore Singapore |
| content_provider |
NTU Library |
| collection |
DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| spellingShingle |
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Huang, Guangbin. Learning capabilities of neural networks |
| description |
Up to now many neural network models have been proposed. In our study we focus on two kinds of feedforward networks: strictly feedforward networks and Kohonen's self-organizing mappings where lateral competition is introduced. The two kinds of feedforward networks have played a fundamental role in neural networks research and application. |
| author2 |
School of Electrical and Electronic Engineering |
| author_facet |
School of Electrical and Electronic Engineering Huang, Guangbin. |
| format |
Theses and Dissertations |
| author |
Huang, Guangbin. |
| author_sort |
Huang, Guangbin. |
| title |
Learning capabilities of neural networks |
| title_short |
Learning capabilities of neural networks |
| title_full |
Learning capabilities of neural networks |
| title_fullStr |
Learning capabilities of neural networks |
| title_full_unstemmed |
Learning capabilities of neural networks |
| title_sort |
learning capabilities of neural networks |
| publishDate |
2008 |
| url |
http://hdl.handle.net/10356/13161 |
| _version_ |
1772825277797236736 |