摘要： 提出了一种新型的混沌神经网络模型及其相应的学习算法。该学习算法利用了输入模式各元素之间的关联性信息。此文的神经网络可以用于多值模式的联想记忆,与现有的混沌神经网络相比,具有更好的性能。

关键词: 联想记忆, 混沌神经网络, 学习算法, 灰度图像

Abstract: A new chaotic neural networks and its learning method are proposed. The learning method takes account of the correlations among the components of the input pattern. The chaotic neural networks can be applied in the multi-values associative memory. Compared with the present chaotic neural networks, it has better performances.

中图分类号: 

• TP183