Algorithms of the tradeoff between accuracy and complexity in the design of fuzzy approximators

被引：6

作者：

Hodashinsky I.A. ^{[1
]}

Gorbunov I.V. ^{[1
]}

机构：

[1] Tomsk State University of Control Systems and Radioelectronics, Tomsk, 634050

来源：

Optoelectronics, Instrumentation and Data Processing | 2013年 / 49卷 / 06期

基金：

俄罗斯基础研究基金会;

关键词：

fuzzy approximator; metaheuristics; parameter optimization; structure generation;

D O I：

10.3103/S875669901306006X

中图分类号：

学科分类号：

摘要：

Two important stages in design of fuzzy approximators, including structure generation and parameter optimization, are considered. Two optimization criteria, i.e., the accuracy measured by the root-mean-square error and the complexity expressed as the number of fuzzy rules, are proposed. The results of studies of the approximators obtained on real data from the KEEL repository are given, and the results are compared with their analogs. © 2013 Allerton Press, Inc.

引用

页码：569 / 577

页数：8