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The optimal encodings for biased association in linear associative memories
Yee Leung1, Tian Xin Dong, Zong Ben Xu
1Department of Geography and Centre for Enviromental Studies, The Chinese University of Hong Kong, Shatin, Hong Kong
Abstract:
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.