摘要
在不考虑激励函数有界,可微和单调的情况下,利用Lyapunov泛函方法,得到了时滞Hopfield神经网络模型的平衡点存在性和全局渐近稳定性的新准则.研究结果改进和推广了以前相关文献的结果.
Without assuming the boundedness,differentiality and monotonicity of the activation function,we constructed a Lyapunov function to investigate the stability of Hopfield neural networks with delays.Some new criteria for global asympotical stability of equalibrium have been obtained.The results improve and extend some existing results.
出处
《经济数学》
北大核心
2010年第2期36-40,共5页
Journal of Quantitative Economics
