A SUCCESSIVE LEARNING NEURO GA CONTROL-SYSTEM SHOOTING AN IRREGULAR MOVING OBJECT

Authors
HIROTA K TSURUMARU T MOTEGI A YUBAZAKI N OHTANI M MIYAJIMA T
Citation
K. Hirota et al., A SUCCESSIVE LEARNING NEURO GA CONTROL-SYSTEM SHOOTING AN IRREGULAR MOVING OBJECT, Neurocomputing, 9(1), 1995, pp. 27-38
Citations number
18
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence",Neurosciences
Journal title
Neurocomputing → ACNP
ISSN journal
09252312
Volume
9
Issue
1
Year of publication
1995
Pages
27 - 38
Database
ISI
SICI code
0925-2312(1995)9:1<27:ASLNGC>2.0.ZU;2-5
Abstract
A successive learning control system based on a neural network techniq ue with a genetic algorithm has been developed to simulate a human rea l-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 successiv e learning control and the final value was 23% in average, 40% in maxi mum.