Multiple-Constraint Winner-Take-All Neural Networks and Their Applications in Parallel Prioritized Scheduling
博士 === 國立交通大學 === 電信工程研究所 === 102 === Winner-Take-All (WTA) and k-Winners-Take-All (k-WTA) neural networks have been widely used to solve various competition-based problems. Thanks to highly efficient paral-lel-computation nature, the class of WTA neural networks is especially suitable for real-time...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2014
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/95760874687288126837 |