A successive learning neuro GA control system shooting an irregular moving object

Kaoru Hirota*, Takayuki Tsurumaru, Atsushi Motegi, Naoyosi Yubazaki, Masayuki Ohtani, Takashi Miyajima

*此作品的通讯作者

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摘要

A successive learning control system based on a neural network technique with a genetic algorithm has been developed to simulate a human real-time learning process. As an application experiment, a 3-freedom arm robot shoots a ball equipped with a CCD camera at an irregular moving ring, where the success rate of shooting is improved by the successive learning control and the final value was 23% in average, 40% in maximum.

源语言英语
页(从-至)27-38
页数12
期刊Neurocomputing
9
1
DOI
出版状态已出版 - 9月 1995
已对外发布

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Hirota, K., Tsurumaru, T., Motegi, A., Yubazaki, N., Ohtani, M., & Miyajima, T. (1995). A successive learning neuro GA control system shooting an irregular moving object. Neurocomputing, 9(1), 27-38. https://doi.org/10.1016/0925-2312(94)00051-S