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An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems
- Source :
- IEEE Transactions on Signal Processing. July, 2002, Vol. 50 Issue 7, p1780, 7 p.
- Publication Year :
- 2002
-
Abstract
- An information-theoretic supervised learning criterion for adaptive systems, minimum error entropy (MEE), is discussed. Equivalence is demonstrated between minimization of error's Renyi entropy of order omega and minimization of a Csiszar distance measure between the densities of desired system outputs.
Details
- ISSN :
- 1053587X
- Volume :
- 50
- Issue :
- 7
- Database :
- Gale General OneFile
- Journal :
- IEEE Transactions on Signal Processing
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.90247919