Random vector functional link network based shallow and deep learning
Deep learning has been extremely successful in recent years. However, it should be noted that neural networks utilizing back-propagation for parameter training are subject to a time-intensive drawback. Also, these neural networks may fall into local minima and give sub-optimal results. At the same t...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/171612 |