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 |
卷 | 9 |
期 | 1 |
DOI | |
出版状态 | 已出版 - 9月 1995 |
已对外发布 | 是 |
指纹
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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