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Algebraic conditions of stability for Hopfield neural network 被引量:1

Algebraic conditions of stability for Hopfield neural network
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摘要 Using the relationship between the resistance, capacitance and current in Hopfield neural network, and the properties of sigmoid function, this paper gives the terse, explicit algebraical criteria of global exponential stability, global asymptotical stability and instability. Then this paper makes clear the essence of the stability that Hopfield defined, and provides a theoretical foundation for the design of a network. Using the relationship between the resistance, capacitance and current in Hopfield neural network, and the properties of sigmoid function, this paper gives the terse, explicit algebraical criteria of global exponential stability, global asymptotical stability and instability. Then this paper makes clear the essence of the stability that Hopfield defined, and provides a theoretical foundation for the design of a network.
出处 《Science in China(Series F)》 2004年第1期113-125,共13页 中国科学(F辑英文版)
关键词 Hopfleld neural network physical parameter activation function stability. Hopfleld neural network, physical parameter, activation function, stability.
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