Pattern retrieval in an asymmetric neural network with embedded limit cycles
Pattern retrieval in an asymmetric neural network with embedded limit cycles
复制标题
具有嵌入极限环的非对称神经网络中的模式检索
DOI：
10.1088/0305-4470/22/11/013
复制
发表时间：
1989
期刊：
影响因子：
--
通讯作者：
S. Nara
中科院分区：
文献类型：
--
作者：
Y. Mori;P. Davis;S. Nara
研究了一种神经网络模型，其中连接矩阵是通过对循环序列中的连续模式的直积求和而形成的。研究发现，由于减少了杂散吸引子的捕获趋势，该模型的噪声消除性能优于自相关模型。
A neural network model in which the connection matrix is formed by summing direct products of successive patterns in cyclic sequences is studied. It is found that the noise elimination performance of this model can be better than that of an autocorrelation model due to a reduced tendency for trapping in spurious attractors.