THE HAMILTON NEURAL-NETWORK MODEL

被引：5
|
作者：
SHUAI, JW
CHEN, ZX
LIU, RT
WU, BX
机构：
[1] Department of Physics, Xiamen University, Xiamen
来源：
PHYSICA A | 1995年 / 216卷 / 1-2期
关键词：
D O I：
10.1016/0378-4371(94)00244-N
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this paper, the Dirac symbol is used to represent a neural network, and a discrete Hamilton neural network model with a 16-state (+/- 1 +/- i +/- j +/- k) neuron has been presented. By using signal-to-noise theory and computer numerical simulation, the stability, the storage capacity and the error correction ability of the model are analysed. The storage capacity ratio of the presented model equals that of the Hopfield model, This 16-state neural network can be applied to recognize 16-level gray or color patterns.
引用
收藏
页码：20 / 31
页数：12
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