Neural networks for pattern recognition and adaptive control
This report presents a detail investigation on the pattern recognition ability of artificial neural networks and ways to use the inherent parallelism in the neural network to reduce the training time. In particular it presents a detailed study of parallel implementation aspects of Multilayer Feedfor...
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| Format: | Research Report |
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2008
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| Online Access: | http://hdl.handle.net/10356/3033 |
| _version_ | 1826123651892641792 |
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| author | Saratchandran, P. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Saratchandran, P. |
| author_sort | Saratchandran, P. |
| collection | NTU |
| description | This report presents a detail investigation on the pattern recognition ability of artificial neural networks and ways to use the inherent parallelism in the neural network to reduce the training time. In particular it presents a detailed study of parallel implementation aspects of Multilayer Feedforward Neural Networks used for handwritten character recognition. In this report the emphasis is on Training set parallelism. |
| first_indexed | 2024-10-01T06:08:08Z |
| format | Research Report |
| id | ntu-10356/3033 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T06:08:08Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/30332023-03-04T03:22:49Z Neural networks for pattern recognition and adaptive control Saratchandran, P. School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing This report presents a detail investigation on the pattern recognition ability of artificial neural networks and ways to use the inherent parallelism in the neural network to reduce the training time. In particular it presents a detailed study of parallel implementation aspects of Multilayer Feedforward Neural Networks used for handwritten character recognition. In this report the emphasis is on Training set parallelism. RP 30/90 2008-09-17T09:19:16Z 2008-09-17T09:19:16Z 1999 1999 Research Report http://hdl.handle.net/10356/3033 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Saratchandran, P. Neural networks for pattern recognition and adaptive control |
| title | Neural networks for pattern recognition and adaptive control |
| title_full | Neural networks for pattern recognition and adaptive control |
| title_fullStr | Neural networks for pattern recognition and adaptive control |
| title_full_unstemmed | Neural networks for pattern recognition and adaptive control |
| title_short | Neural networks for pattern recognition and adaptive control |
| title_sort | neural networks for pattern recognition and adaptive control |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | http://hdl.handle.net/10356/3033 |
| work_keys_str_mv | AT saratchandranp neuralnetworksforpatternrecognitionandadaptivecontrol |