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» The importance of learning in fuzzy systems
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TFS
2008
129views more  TFS 2008»
13 years 6 months ago
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin
FSS
2006
102views more  FSS 2006»
13 years 7 months ago
Consistent Sobolev regression via fuzzy systems with overlapping concepts
In this paper we propose a new nonparametric regression algorithm based on Fuzzy systems with overlapping concepts. We analyze its consistency properties, showing that it is capab...
Giancarlo Ferrari-Trecate, Riccardo Rovatti
EUSFLAT
2003
13 years 9 months ago
Fuzzy logic techniques for reputation management in anonymous peer-to-peer systems
Emerging approaches to enforce some form of protection in (pseudo)anonymous peer to peer systems propose the use of reputations as a means to establish the reliability of servents...
Ernesto Damiani, Sabrina De Capitani di Vimercati,...
EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 9 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide
ISCI
2007
116views more  ISCI 2007»
13 years 7 months ago
Advances in type-2 fuzzy sets and systems
In this state-of-the-art paper, important advances that have been made during the past five years for both general and interval type-2 fuzzy sets and systems are described. Inter...
Jerry M. Mendel