A comparative study of the MAX and SUM machine-learning algorithms using virtual fuzzy sets-Reference-Cited by-同舟云学术

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A comparative study of the MAX and SUM machine-learning algorithms using virtual fuzzy sets

Published:1996-10 Issue:5 Volume:9 Page:515-522
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Chan K.C.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference17 articles.

1. Fuzzy identification of systems and its applications to modeling and control;Takagi;IEEE Transactions on Systems, Man, and Cybernetics,1985

2. A fuzzy-logic-based approach to qualitative modeling;Sugeno;IEEE Transactions on Fuzzy Systems,1993

3. Fuzzy model identification and self-learning for dynamic systems;Xu;IEEE Transactions on Systems, Man, and Cybernetics,1987

4. Adaptive fuzzy logic approximation of unknown nonlinear systems: state-variable feedback tuning;Liu,1994

5. Fuzzy logic modeling for unknown nonlinear systems by input-output measurements;Liu,1994

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-developing fuzzy expert system: a novel learning approach, fitting for manufacturing domain;Journal of Intelligent Manufacturing;2009-03-05

2. A Self Progressing Fuzzy Rule-Based System for Optimizing and Predicting Machining Process;Lecture Notes in Electrical Engineering;2009

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