Associative memory using synchronization in a chaotic neural network
Associative memory using synchronization in a chaotic neural network
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DOI：
10.1142/s0129183101001407
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发表时间：
2001-01-01
影响因子：
1.9
通讯作者：
Ali, MK
中科院分区：
文献类型：
--
作者：
Tan, Z;Ali, MK
将同步引入混沌神经网络模型来讨论其联想记忆。轨迹同步的相对时间被用作混沌神经网络模式识别的度量。记忆的可检索性与突触、初始条件和存储容量有关。该技术简单且易于应用于神经系统。
Synchronization is introduced into a chaotic neural network model to discuss its associative memory. The relative time of synchronization of trajectories is used as a measure of pattern recognition by chaotic neural networks. The retrievability of memory is shown to be connected to synapses, initial conditions and storage capacity. The technique is simple and easy to apply to neural systems.