Adaptation, learning and evolution for intelligent systems

Author

Fukuda, Toshio ; Kobayashi, Futoshi

Author_Institution

Dept. of Micro Syst. Eng., Nagoya Univ., Japan

Volume

3

fYear

1999

fDate

22-25 Aug. 1999

Firstpage

1203

Abstract

Intelligent systems are required in knowledge engineering, computer science, mechatronics and robotics. This paper discusses the machine (system) intelligence from the viewpoints of adaptation, learning and evolution of living things. Next, this paper introduces computational intelligence including neural network, fuzzy system and genetic algorithm. Finally, this paper describe the sensor fusion system which selects sensor information adaptively.

Keywords

adaptive systems; evolutionary computation; fuzzy systems; knowledge based systems; knowledge engineering; learning (artificial intelligence); neural nets; adaptation; computational intelligence; computer science; evolution; fuzzy system; genetic algorithm; intelligent systems; knowledge engineering; learning; mechatronics; neural network; robotics; sensor fusion system; Competitive intelligence; Computational intelligence; Computer science; Intelligent robots; Intelligent sensors; Intelligent systems; Knowledge engineering; Learning systems; Mechatronics; Sensor fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International

Conference_Location

Seoul, South Korea

ISSN

1098-7584

Print_ISBN

0-7803-5406-0

Type

conf

DOI

10.1109/FUZZY.1999.790073

Filename

790073