Chaotic associative memory for successive learning using internal patterns

Abstract

In this paper, we propose a chaotic associative memory for successive learning (CAMSL) using internal patterns. In the CAMSL, the learning process and the recall process are not divided. When an unstored pattern is given to the network, the CAMSL can learn the pattern successively. The CAMSL distinguishes an unstored pattern from the stored patterns. When a… (More)
DOI: 10.1109/ICSMC.2000.884372

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