時(shí)延不對稱Hopfield神經(jīng)網(wǎng)絡(luò)的穩(wěn)定條件及其應(yīng)用
STABILITY CONDITIONS OF ASYMMETRIC HOPFIELD NEURAL NETWORKS WITH TIME-DELAY AND ITS APPLICATION
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摘要: 本文對具有時(shí)延的不對稱Hopfield型神經(jīng)網(wǎng)絡(luò)平衡點(diǎn)的穩(wěn)定性進(jìn)行了分析,得到了網(wǎng)絡(luò)平衡點(diǎn)全局漸近穩(wěn)定的一些充分條件,最后我們說明了分析結(jié)果在網(wǎng)絡(luò)設(shè)計(jì)和參數(shù)選擇中的應(yīng)用。
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關(guān)鍵詞:
- 神經(jīng)網(wǎng)絡(luò); 時(shí)延; 全局漸近穩(wěn)定性
Abstract: In this paper, the global asymptotic stability of equilibrium point for asymmetric Hopfield neural networks with time-delay is discussed, and the sufficient conditions for global asymptotic stability of the equilibrium point are obtained. Finally, the applications of these results in the design and the parameter selection of neural networks are illustrated. -
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