Proceedings of the Fuzzy System Symposium
22nd Fuzzy System Symposium
Session ID : 8E2-3
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Knowlegde Acquisition for Vehicle's Control by an Active Learning Method
*Ryohei KamimaeYoshitaka SakuraiNakaji Honda
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Abstract
We have proposed the active learning method (ALM) as asoft computing methodology.The ALM is algorithmically modeled onthe information-handling processes of the human mind. In this paper,using the ALM, we attempted the acquisition of control knowledge of parking a motor vehicle.In this learning application, the control based on linear feedback is insufficient since vehicles possesses non-Horonomic characteristics. The simulation results demonstrated that the proposed method can acquire simple control knowledge of parking a motor vehicle by accumulation of experience.
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© 2006 Japan Society for Fuzzy Theory and Intelligent Informatics
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