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.
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/53148 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| id |
sg-ntu-dr.10356-53148 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-531482023-07-04T16:36:35Z RBF neural networks for pattern classification He, Jianlei. Mao Kezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering 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. Master of Science (Computer Control and Automation) 2013-05-30T04:10:09Z 2013-05-30T04:10:09Z 2011 2011 Thesis http://hdl.handle.net/10356/53148 en 108 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::Electrical and electronic engineering |
| spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering He, Jianlei. RBF neural networks for pattern classification |
| description |
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. |
| author2 |
Mao Kezhi |
| author_facet |
Mao Kezhi He, Jianlei. |
| format |
Theses and Dissertations |
| author |
He, Jianlei. |
| author_sort |
He, Jianlei. |
| title |
RBF neural networks for pattern classification |
| title_short |
RBF neural networks for pattern classification |
| title_full |
RBF neural networks for pattern classification |
| title_fullStr |
RBF neural networks for pattern classification |
| title_full_unstemmed |
RBF neural networks for pattern classification |
| title_sort |
rbf neural networks for pattern classification |
| publishDate |
2013 |
| url |
http://hdl.handle.net/10356/53148 |
| _version_ |
1772827097659604992 |