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.

引用

页码：351 / 361

页数：11

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