Impartial competitive learning in multi-layered neural networks
The present paper aims to propose a new learning and interpretation method called “impartial competitive learning”, meaning that all participants in a competition should be winners. Due to its importance, the impartiality is forced to be realised even by increasing the corresponding cost in terms of...
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| Main Author: | Ryotaro Kamimura |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
|
| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2023.2174079 |
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