RBF neural networks for pattern classification
Radial basis function neural networks (RBF neural networks), as an alternative to multilayer perceptions, have been found to be very advantageous to pattern recognition, machine learning and artificial intelligence. This thesis addresses the problem of RBF neural networks for pattern classification.
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/10356/53148 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Radial basis function neural networks (RBF neural networks), as an alternative to multilayer perceptions, have been found to be very advantageous to pattern recognition, machine learning and artificial intelligence. This thesis addresses the problem of RBF neural networks for pattern classification. |
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