ヤノウ　アキラ   Akira Yanou   矢納　陽    所属   川崎医療福祉大学  医療技術学部 診療放射線技術学科    職種   教授
言語種別	英語
発表タイトル	Validity Analysis of Chaos Generated with Neural-Network-Differential-Equation for Robot to Reduce Fish's Learning Speed
会議名	17th International Symposium on Applied Electromagnetics and Mechanics (ISEM2015)
学会区分	国際学会及び海外の学会
発表形式	口頭
講演区分	一般
発表者・共同発表者	◎Haruhiro INUKAI, Keita MORI, Mamoru MINAMI and Akira YANOU
発表年月日	2015/09
開催地 （都市, 国名）	Kobe, Japan
概要	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.