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具有轴突信号传输延迟的双向联想记忆神经网络
NEURAL NETWORKS OF BIDIRCTIONAL ASSOCIATIVE MEMORY WITH AXONAL SIGNAL TRANSMISSION DELAYS
【摘要】 双向联想记忆模型是两层异联想网络,本文重点讨论了具有轴突信号传输延迟的双向联想记忆神经网络平衡点存在的条件以及全局稳定性.并用具体例子验证了结论的正确性。本文所讨论的方法具有普遍性,所得到的结果对于网络的设计和应用具有重要的指导意义。
【Abstract】 Bidirectional Associative Memory(BAM) models are two-layer heteroassciative networks. In this paper, conditions for the existence of equilibrium points and global stability are emphatically disscussed for BAM with axonal signal transmission delays. The correctness of obtained conclusions is verified by use of some examples. The disscussed methods are more general. The obtained results have important leading significance in the design and application of BAM.
【关键词】 轴突信号传输延迟;
双向联想记忆神经网络;
平衡点存在性;
全局稳定性;
【Key words】 Axonal signal transmission delays; Neural networks of BAM; Existence of equilibrium point; Global stability;
【Key words】 Axonal signal transmission delays; Neural networks of BAM; Existence of equilibrium point; Global stability;
【基金】 中科院国家模式识别重点实验室基金;清华大学计算机系国家智能技术与系统实验室基金
- 【文献出处】 电子科学学刊 , 编辑部邮箱 ,1997年04期
- 【分类号】TP183
- 【被引频次】24
- 【下载频次】91