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针对混沌神经网络对噪声敏感的特点,构建了一种基于Aihara混沌神经元的混沌双向联想记忆神经网络(CBAM),在每一层都包含了一个内层联想记忆结构。实验仿真表明,这种改进对提高双向联想记忆神经网络的抗噪能力作用显著。
Abstract：Design a bidirectional associative memory network model based on Aihara chaos neuron for its sensitivity to noise.It includes an inside associative memory construct on its every layer.The simulation shows that the model improves the anti-noise ability of the BAM effectively.
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基本信息:
DOI：
中图分类号:TP183
引用信息:
[1]刘玲,张兴会,梁伟.一种基于Aihara神经元的改进CBAM模型[J].天津工程师范学院学报,2009,19(02):12-14.
基金信息:
天津市科技发展计划项目(06YFLMLC01600).