CHAOTIC MEMORY DYNAMICS IN A RECURRENT NEURAL NETWORK WITH CYCLE MEMORIES EMBEDDED BY PSEUDO-INVERSE METHOD
CHAOTIC MEMORY DYNAMICS IN A RECURRENT NEURAL NETWORK WITH CYCLE MEMORIES EMBEDDED BY PSEUDO-INVERSE METHOD
复制标题
伪逆方法嵌入循环记忆的循环神经网络中的混沌记忆动力学
DOI：
10.1142/s0218127495000867
复制
发表时间：
1995
影响因子：
2.2
通讯作者：
H. Totsuji
中科院分区：
文献类型：
--
作者：
S. Nara;P. Davis;M. Kawachi;H. Totsuji
结果表明，当相似模式序列存储在递归神经网络中时，通过减少神经网络的连通性，可以诱导记忆体之间混沌不变性的层次分叉.这种混沌对于记忆搜索和合成是潜在有用的。
It is shown that hierarchical bifurcation of chaotic intermittency among memories can be induced by reducing neural connectivity when sequences of similar patterns are stored in a recurrent neural network using the pseudo-inverse method. This chaos is potentially useful for memory search and synthesis.