The optimal encodings for biased association in linear associative memories

Autor: Yee Leung, Tian-Xin Dong, Zongben Xu
Rok vydání: 1998
Předmět:
Zdroj: Neural Networks. 11:877-884
ISSN: 0893-6080
DOI: 10.1016/s0893-6080(98)00042-2
Popis: In this paper, optimal encoding schemes for linear associative memories are derived for biased association under both the white-noise and colored-noise situations. Analysis and simulation results all show that the biased encodings thus derived are optimal and superior to existing models in their performance. Together with the Wee-Kohonen unbiased encoding, the study settles the optimality issue of linear associative memories and enhances their practicalities.
Databáze: OpenAIRE