Title :
Adaptation, learning and evolution for intelligent systems
Author :
Fukuda, Toshio ; Kobayashi, Futoshi
Author_Institution :
Dept. of Micro Syst. Eng., Nagoya Univ., Japan
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;
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.790073
