Akira Yanou    Department   Kawasaki University of Medical Welfare  ,    Position   Professor
Language	English
Title	Validity Analysis of Chaos Generated with Neural-Network-Differential-Equation for Robot to Reduce Fish's Learning Speed
Conference	17th International Symposium on Applied Electromagnetics and Mechanics (ISEM2015)
Conference Type	International society and overseas society
Presentation Type	Speech
Lecture Type	General
Publisher and common publisher	◎Haruhiro INUKAI, Keita MORI, Mamoru MINAMI and Akira YANOU
Date	2015/09
Venue (city and name of the country)	Kobe, Japan
Summary	We have been investigating a method to compose some intelligent robots. Continuous catching and releasing experiment for fish induces the fish to find some escaping strategies staying at corners of a pool. To make fish-catching robot more intelligent than fish's adapting and escaping abilities, we have proposed a chaos-generator comprising Neural-Network-Differential-Equation(NNDE) and an evolving mechanism to have the system generate chaotic trajectories as many as possible. We believe that the fish could not be adaptive enough to escape from chasing net with chaos motions since unpredictable chaotic motions of net may go beyond the fish's adapting abilities to the net motions. In this report we confirmed that the proposed system can generate plural chaos and the chaos is valid for fish catching robot.