中国科学院软件研究所机构知识库
Register
Email:
Passwd
验 证:
换一张
Have you forgotten your password? Log In
Advanced  
  Communities
  Subjects
  All Items
ISCAS OpenIR  > 软件所图书馆  > 期刊论文
Subject: Automation & Control Systems; Computer Science, Artificial Intelligence; Computer Science, Cybernetics
Title:
catsmlp: toward a robust and interpretable multilayer perceptron with sigmoid activation functions
Author: Chung Fu-Lai ; Wang Shitong ; Deng Zhaohong ; Hu Dewen
Keyword: cascaded multilayer perceptron (MLP) ; fuzzy systems ; robustness analysis ; syllogistic fuzzy inference ; universal approximation
Source: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Issued Date: 2006
Volume: 36, Issue:6, Pages:1319-1331
Indexed Type: sci
Department: Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China. So Yangtse Univ, Sch Informat Technol, Wuxi 214036, Peoples R China. Chinese Acad Sci, Natl Key Lab Comp Sci, Inst Software, Beijing 100080, Peoples R China. Natl Def Uni
Language: 英语
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/11464
Appears in Collections:软件所图书馆_期刊论文

Files in This Item:
File Name/ File Size Content Type Version Access License
04014563.pdf（399KB）----限制开放-- 联系获取全文

Recommended Citation:
Chung Fu-Lai,Wang Shitong,Deng Zhaohong,et al. catsmlp: toward a robust and interpretable multilayer perceptron with sigmoid activation functions[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2006-01-01,36(6):1319-1331.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Chung Fu-Lai]'s Articles
[Wang Shitong]'s Articles
[Deng Zhaohong]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Chung Fu-Lai]‘s Articles
[Wang Shitong]‘s Articles
[Deng Zhaohong]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放，请您登录
您对该条目有什么异议，请填写以下表单，管理员会尽快联系您。
内 容：
Email：  *
单位：
验证码：   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题：
  * 
内 容：
Email：  *
验证码：   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 
Valid XHTML 1.0!
Copyright © 2007-2020  中国科学院软件研究所 - Feedback
Powered by CSpace