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- W2362338489 abstract "In associative Hopfield neural networks, analyzing binary orthogonal memory patterns plays a very important role in studying their storage capacity. The conception of attractive index is proposed to estimate the basin of attraction for each binary orthogonal memory patterns with components in Hopfield neural networks. Theoretic analysis and computer simulation show that each memory pattern's basin of attraction contains at least one Hamming sphere when the storage capacity is less than 0.33N which is better than usual 0.15N." @default.
- W2362338489 created "2016-06-24" @default.
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- W2362338489 date "2001-01-01" @default.
- W2362338489 modified "2023-09-23" @default.
- W2362338489 title "Analysis of Binary Orthogonal Memory Patterns in Hopfield Neural Networks" @default.
- W2362338489 hasPublicationYear "2001" @default.
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