The three-dimensional rotation neural network

被引：3
|
作者：
Shuai, JW
Zheng, JC
Chen, ZX
Liu, RT
Wu, BX
机构：
[1] Physics Department, Xiamen University
来源：
PHYSICA A | 1997年 / 238卷 / 1-4期
关键词：
D O I：
10.1016/S0378-4371(96)00465-7
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The storage capacity of the three-dimensional rotation neural network model is;discussed by using the signal-to-noise theory. Some results discussed in the Hopfield model, the complex phasor model and the Hamilton neural network are obtained. Compared to other multistate neural networks, a novel property of the model is that the storage capacity for a tired neuronal state varies with the different combinations of numbers of rotation angles and axes. The maximum storage capacity can be obtained for a special combination of numbers of rotation angles and axes.
引用
收藏
页码：23 / 38
页数：16
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