CONVERGENCE PROPERTIES OF RECURSIVE RANK-ORDER FILTER AND NEURAL NETWORK

被引：9

作者：

ASANO, A

ZHANG, W

ITOH, K

ICHIOKA, Y

机构：

[1] Department of Applied Physics, Faculty of Engineering, Osaka University, Suita, Osaka, 565

来源：

PATTERN RECOGNITION LETTERS | 1990年 / 11卷 / 08期

关键词：

convergence property; Hopfield's neural network model; Rank-order filter;

D O I：

10.1016/0167-8655(90)90026-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is demonstrated that all signals of arbitrary dimension converge to the root signals by iterative operations of the recursive rank-order filter under certain conditions. We utilize the relation between rank-order filters and Hopfield's neural network model. © 1990.

引用

页码：557 / 560

页数：4

共 11 条

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