Abstract
Winner-Take-All (WTA) or K-Winner-Take-All (KWTA) networks have been frequently used as the basic building blocks of complex neural networks. This paper introduces a new selection rule for network connections that implements stable KWTA networks. To widen the applications of WTA networks, a new class of WTA networks is proposed, and their efficient design methods are presented. We demonstrate the properties of the generalized class of WTA networks, through three application examples.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 333-346 |
| Number of pages | 14 |
| Journal | Multidimensional Systems and Signal Processing |
| Volume | 6 |
| Issue number | 4 |
| DOIs | |
| State | Published - Oct 1995 |