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

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

doi:10.1016/0925-2312(94)00051-S

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

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	27-38
Number of pages	12
Journal	Neurocomputing
Volume	9
Issue number	1
DOIs	https://doi.org/10.1016/0925-2312(94)00051-S
Publication status	Published - Sept 1995
Externally published	Yes

Keywords

Genetic algorithm
Image processing
Neural network
Robotics

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10.1016/0925-2312(94)00051-S

Cite this

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abstract = "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.",

keywords = "Genetic algorithm, Image processing, Neural network, Robotics",

author = "Kaoru Hirota and Takayuki Tsurumaru and Atsushi Motegi and Naoyosi Yubazaki and Masayuki Ohtani and Takashi Miyajima",

year = "1995",

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AU - Hirota, Kaoru

AU - Tsurumaru, Takayuki

AU - Motegi, Atsushi

AU - Yubazaki, Naoyosi

AU - Ohtani, Masayuki

AU - Miyajima, Takashi

PY - 1995/9

Y1 - 1995/9

N2 - 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.

AB - 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.

KW - Genetic algorithm

KW - Image processing

KW - Neural network

KW - Robotics

UR - https://www.scopus.com/pages/publications/0029361137

U2 - 10.1016/0925-2312(94)00051-S

DO - 10.1016/0925-2312(94)00051-S

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JO - Neurocomputing

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

Abstract

Keywords

Access to Document

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