NDLI: Intelligent chaos Fish-Catching based on Neural-Network-Differential-Equation

Content Provider	IEEE Xplore Digital Library
Author	Endo, R. Hirao, J. Minami, M.
Copyright Year	2010
Description	Author affiliation: Graduate school of Engineering, University of Fukui, Fukui, Japan (Endo, R.; Hirao, J.) \|\| Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan (Minami, M.)
Abstract	In this paper we tackle a Fish-Catching task under a visual feedback hand-eye system with catching net. As the time of tracking and catching process continues, and releasing the caught immediately into the same pool, then the fish can somewhat get accustomed to the net motion pattern and gradually find out new strategies on how to escape from the pursuing net. For the sake of such innate ability being widely existed in animal's behavior, the catching operation becomes tough and some effective intelligent method is needed to be conceived to go beyond the fishes' intelligence. The purpose of this paper is to construct intelligent system to exceed the fishes' intelligence in order to track and catch the fish successfully. Then we embed chaotic motion into the net motion of robot for better performance, and we have shown the chaotic net motion can overcome the fishes' escaping strategies.
Starting Page	1957
Ending Page	1962
File Size	1518796
Page Count	6
File Format	PDF
ISBN	9781424476428
e-ISBN	9784907764364
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Chaos Robots Orbits Gallium Trajectory Tracking Artificial intelligence GA Neural Network emergence Intelligent system
Content Type	Text
Resource Type	Article

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