COMPLEX-VALUED ASSOCIATIVE MEMORIES WITH PROJECTION AND ITERATIVE LEARNING RULES

被引：12

作者：

Isokawa, Teijiro ^{[1
]}

Yamamoto, Hiroki ^{[1
]}

Nishimura, Haruhiko ^{[2
]}

Yumoto, Takayuki ^{[1
]}

Kamiura, Naotake ^{[1
]}

Matsui, Nobuyuki ^{[1
]}

机构：

[1] Univ Hyogo, Grad Sch Engn, 2167 Shosha, Himeji, Hyogo 6712280, Japan

[2] Univ Hyogo, Grad Sch Appl Informat, Chuo Ku, 7-1-28 Minatojima Minami Cho, Kobe, Hyogo 6500047, Japan

来源：

JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH | 2018年 / 8卷 / 03期

基金：

日本学术振兴会;

关键词：

complex-valued neural networks; associative memory; projection; NEURAL-NETWORKS;

D O I：

10.1515/jaiscr-2018-0015

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 paper, we investigate the stability of patterns embedded as the associative memory distributed on the complex-valued Hopfield neural network, in which the neuron states are encoded by the phase values on a unit circle of complex plane. As learning schemes for embedding patterns onto the network, projection rule and iterative learning rule are formally expanded to the complex-valued case. The retrieval of patterns embedded by iterative learning rule is demonstrated and the stability for embedded patterns is quantitatively investigated.

引用

页码：237 / 249

页数：13

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