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ESTIMATION OF ATTRACTION DOMAIN AND EXPONENTIAL CONVERGENCE RATE OF CONTINUOUS FEEDBACK ASSOCIATIVE MEMORY
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作者 周冬明 曹进德 李继彬 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2001年第3期320-325,共6页
Analytical techniques and Liapunov method were used for the estimation of the attraction domain of memory patterns and local exponential stability of neural networks. The results were used to design efficient continuo... Analytical techniques and Liapunov method were used for the estimation of the attraction domain of memory patterns and local exponential stability of neural networks. The results were used to design efficient continuous feedback associative memory neural networks. The neural network synthesis procedure ensured the gain of large exponential convergence rate without reduction of the attraction domain. 展开更多
关键词 Asymptotic stability Convergence of numerical methods Fault tolerant computer systems Matrix algebra Recurrent neural networks
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