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 | |
| 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 |
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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
Fusion techniques of fuzzy systems and neural networks, and fuzzy systems and genetic algorithms. / Takagi, Hideyuki.
In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 2061, 22.12.1993, p. 402-413.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Fusion techniques of fuzzy systems and neural networks, and fuzzy systems and genetic algorithms
AU - Takagi, Hideyuki
PY - 1993/12/22
Y1 - 1993/12/22
N2 - 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.
AB - 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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U2 - 10.1117/12.165043
DO - 10.1117/12.165043
M3 - Conference article
AN - SCOPUS:85033063625
VL - 2061
SP - 402
EP - 413
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
SN - 0277-786X
ER -