Fusion techniques of fuzzy systems and neural networks, and fuzzy systems and genetic algorithms

Research output: Contribution to journalConference article

8 Citations (Scopus)

Abstract

This paper overviews four combinations of fuzzy logic, neural networks and genetic algorithms: (1) neural networks to auto-design fuzzy systems, (2) employing fuzzy rule structure to construct structured neural networks, (3) genetic algorithms to auto-design fuzzy systems, and (4) a fuzzy knowledge-based system to control genetic parameter dynamically.

Original languageEnglish
Pages (from-to)402-413
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2061
DOIs
Publication statusPublished - Dec 22 1993
Externally publishedYes
EventApplications of Fuzzy Logic Technology 1993 - Boston, United States
Duration: Sep 7 1993Sep 10 1993

Fingerprint

fuzzy systems
Fuzzy systems
genetic algorithms
Fuzzy Systems
Fusion
Fusion reactions
fusion
Genetic algorithms
Genetic Algorithm
Neural Networks
Neural networks
knowledge based systems
Knowledge-based Systems
Knowledge based systems
Fuzzy rules
Network Algorithms
Fuzzy Rules
Fuzzy Logic
Fuzzy logic
logic

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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abstract = "This paper overviews four combinations of fuzzy logic, neural networks and genetic algorithms: (1) neural networks to auto-design fuzzy systems, (2) employing fuzzy rule structure to construct structured neural networks, (3) genetic algorithms to auto-design fuzzy systems, and (4) a fuzzy knowledge-based system to control genetic parameter dynamically.",
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