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- W1539736667 abstract "Hysteresis neural networks are one of the effective heuristic algorithms for constraint satisfaction problems. To overcome a serious defect of HNN which is called a periodic solution, several algorithms have been proposed. The paper describes a comparison between two algorithms of them based on tabu search. One is a previously proposed algorithm named dynamic time constant tabu hysteresis neural networks. Another is a novel algorithm named dynamic equilibrium point tabu hysteresis neural networks. These algorithms are estimated from their performances and implementation costs." @default.
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- W1539736667 date "2004-03-22" @default.
- W1539736667 modified "2023-09-26" @default.
- W1539736667 title "A comparison of tabu algorithms for hysteresis neural networks" @default.
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- W1539736667 doi "https://doi.org/10.1109/iconip.2002.1202167" @default.
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