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

Hideyuki Takagi

doi:10.1117/12.165043

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

Hideyuki Takagi

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	402-413
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2061
DOIs	https://doi.org/10.1117/12.165043
Publication status	Published - Dec 22 1993
Externally published	Yes
Event	Applications of Fuzzy Logic Technology 1993 - Boston, United States Duration: Sep 7 1993 → Sep 10 1993

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1117/12.165043

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