Dynamics of Quaternionic Hopfield Type Neural Networks

被引：2
|
作者：
Garimella, Rama Murthy [1 ]
Anil, Rayala [1 ]
机构：
[1] Int Inst Informat Technol, Hyderabad, India
来源：
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2017, PT I | 2017年 / 10305卷
关键词：
20;
D O I：
10.1007/978-3-319-59153-7_31
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this research paper, a novel ordinary quaternionic hopfield type network is proposed and the associated convergence theorem is proved. Also, a novel structured quaternionic recurrent hopfield network is proposed. It is proved that in the parallel mode of operation, such a network converges to a cycle of length 4.
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页码：351 / 361
页数：11
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