• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种基于矩形棱锥的新型模糊系统。

A new fuzzy system based on rectangular pyramid.

作者信息

Jiang Mingzuo, Yuan Xuehai, Li Hongxing, Wang Jiaxia

机构信息

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China.

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China ; Foundation Department, Dalian University of Technology, Panjin 124221, China.

出版信息

ScientificWorldJournal. 2015;2015:682989. doi: 10.1155/2015/682989. Epub 2015 Mar 19.

DOI:10.1155/2015/682989
PMID:25874253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4383317/
Abstract

A new fuzzy system is proposed in this paper. The novelty of the proposed system is mainly in the compound of the antecedents, which is based on the proposed rectangular pyramid membership function instead of t-norm. It is proved that the system is capable of approximating any continuous function of two variables to arbitrary degree on a compact domain. Moreover, this paper provides one sufficient condition of approximating function so that the new fuzzy system can approximate any continuous function of two variables with bounded partial derivatives. Finally, simulation examples are given to show how the proposed fuzzy system can be effectively used for function approximation.

摘要

本文提出了一种新的模糊系统。该系统的新颖之处主要在于其前件的复合,它基于所提出的矩形金字塔隶属函数而非三角模。证明了该系统能够在紧致域上以任意精度逼近任意二元连续函数。此外,本文给出了一个函数逼近的充分条件,使得新的模糊系统能够逼近任意具有有界偏导数的二元连续函数。最后,给出了仿真示例,以说明所提出的模糊系统如何能有效地用于函数逼近。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/64cfca5ce60c/TSWJ2015-682989.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/290ad83abe4e/TSWJ2015-682989.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/b2be6d7fd60e/TSWJ2015-682989.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/668e445245d7/TSWJ2015-682989.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/353487587d4a/TSWJ2015-682989.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/64cfca5ce60c/TSWJ2015-682989.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/290ad83abe4e/TSWJ2015-682989.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/b2be6d7fd60e/TSWJ2015-682989.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/668e445245d7/TSWJ2015-682989.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/353487587d4a/TSWJ2015-682989.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f308/4383317/64cfca5ce60c/TSWJ2015-682989.005.jpg

相似文献

1
A new fuzzy system based on rectangular pyramid.一种基于矩形棱锥的新型模糊系统。
ScientificWorldJournal. 2015;2015:682989. doi: 10.1155/2015/682989. Epub 2015 Mar 19.
2
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning.模糊基函数、通用逼近与正交最小二乘学习
IEEE Trans Neural Netw. 1992;3(5):807-14. doi: 10.1109/72.159070.
3
Fuzzy identification of systems with unsupervised learning.
IEEE Trans Syst Man Cybern B Cybern. 1997;27(1):138-41. doi: 10.1109/3477.552195.
4
A systematic approach to a self-generating fuzzy rule-table for function approximation.一种用于函数逼近的自生成模糊规则表的系统方法。
IEEE Trans Syst Man Cybern B Cybern. 2000;30(3):431-47. doi: 10.1109/3477.846232.
5
Robust Filtering for Nonlinear Nonhomogeneous Markov Jump Systems by Fuzzy Approximation Approach.基于模糊逼近方法的非线性非齐次马尔可夫跳变系统的鲁棒滤波。
IEEE Trans Cybern. 2015 Sep;45(9):1706-16. doi: 10.1109/TCYB.2014.2358680. Epub 2014 Nov 20.
6
Necessary conditions on minimal system configuration for general MISO Mamdani fuzzy systems as universal approximators.作为通用逼近器的一般多输入单输出(MISO)Mamdani模糊系统的最小系统配置的必要条件。
IEEE Trans Syst Man Cybern B Cybern. 2000;30(6):857-64. doi: 10.1109/3477.891147.
7
Fuzzy approximation via grid point sampling and singular value decomposition.
IEEE Trans Syst Man Cybern B Cybern. 1997;27(6):933-51. doi: 10.1109/3477.650055.
8
Fuzzy systems with defuzzification are universal approximators.
IEEE Trans Syst Man Cybern B Cybern. 1996;26(1):149-52. doi: 10.1109/3477.484447.
9
Uncertainty Propagation for the Structures with Fuzzy Variables and Uncertain-but-Bounded Variables.具有模糊变量和不确定但有界变量的结构的不确定性传播
Materials (Basel). 2023 Apr 25;16(9):3367. doi: 10.3390/ma16093367.
10
Identification of uncertain nonlinear systems for robust fuzzy control.鲁棒模糊控制的不确定非线性系统辨识。
ISA Trans. 2010 Jan;49(1):27-38. doi: 10.1016/j.isatra.2009.07.005. Epub 2009 Aug 14.

本文引用的文献

1
Turbulent-PSO-Based Fuzzy Image Filter With No-Reference Measures for High-Density Impulse Noise.基于紊流 PSO 的无参考测度模糊图像滤波器,用于高密度脉冲噪声。
IEEE Trans Cybern. 2013 Feb;43(1):296-307. doi: 10.1109/TSMCB.2012.2205678. Epub 2012 Jul 20.
2
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning.模糊基函数、通用逼近与正交最小二乘学习
IEEE Trans Neural Netw. 1992;3(5):807-14. doi: 10.1109/72.159070.
3
Sufficient conditions on fuzzy logic controllers as universal approximators.
IEEE Trans Syst Man Cybern B Cybern. 2001;31(2):270-4. doi: 10.1109/3477.915352.