TY - JOUR
T1 - Fusion techniques of fuzzy systems and neural networks, and fuzzy systems and genetic algorithms
AU - Takagi, Hideyuki
N1 - Funding Information:
*The author is a Visiting Industrial Fellow at UC Berkeley till October, 1993, on leaving from Central Research Laboratories, Matsushita Electric Jndustrial Co., Ltd., Moriguchi, Osaka 570 Japan (takagi@minsky.crl.mei.co.jp). °T research is supported in part by NASA Grant NCC-2-275, MICRO State Program Award No.90-191, and EPRI Agreement RP8O1O-34.
Publisher Copyright:
© 1993 SPIE. All rights reserved.
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.
UR - http://www.scopus.com/inward/record.url?scp=85033063625&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85033063625&partnerID=8YFLogxK
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
T2 - Applications of Fuzzy Logic Technology 1993
Y2 - 7 September 1993 through 10 September 1993
ER -