DocumentCode :
3394197
Title :
Computational intelligence-fuzzy, neural, and evolutionary computing
Author :
Fukuda, Toshio ; Kubota, Naoyuki
Author_Institution :
Dept. of Micro Syst., Nagoya Univ., Japan
Volume :
4
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
2084
Abstract :
This paper introduces the recent topics of computational intelligence. First, elemental techniques of fuzzy, neural, and evolutionary computing are described, and next, their emerging synthetic methodology for robotics is introduced. Furthermore, this paper proposes the total architecture of the structured intelligence for robotic systems. Finally, simulation results show that the flexible behavior acquisition can be done according to the behavioral knowledge and evaluation functions
Keywords :
evolutionary computation; fuzzy logic; neural nets; behavioral knowledge; computational intelligence; evolutionary computing; fuzzy computing; neural computing; robotics; simulation results; structured intelligence; synthetic methodology; Competitive intelligence; Computational intelligence; Fuzzy logic; Fuzzy systems; Humans; Intelligent manufacturing systems; Intelligent robots; Intelligent structures; Intelligent systems; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.944391
Filename :
944391
Link To Document :
بازگشت