A new competitive learning (CL) algorithm with k-winners-take-all activation is presented. The k winning neurons for updating are those best matching the input vector in the wavelet domain with subspace search. Simulation results show that the algorithm gives a better performance than that of the traditional CL algorithm while requiring much less computational time.
|頁（從 - 到）||1240-1241|
|出版狀態||已發佈 - 1998 六月 11|
ASJC Scopus subject areas
- Electrical and Electronic Engineering