Parameter Estimation of a Skill Evaluation Model

Authors
Kazuo Kawada, Teruyuki Tamai, Toru Yamamoto
Corresponding Author
Kazuo Kawada
Available Online 1 December 2017.
DOI
https://doi.org/10.2991/jrnal.2017.4.3.6
Keywords
Skill evaluation model, Teacher-student model, Learning process, First-order system, Real-coded genetic algorithm, Parameter estimation.
Abstract
In this study, the aim is to construct a "teacher-student model" for optimal skill acquisition. To support the optimal skill acquisition, modeling and estimation of an individual learning process are very important. The first-order system with time delay is introduced as an individual learning process model based the control engineering approach. These system parameters included in the skill evaluation model are estimated by using a real-coded genetic algorithm. In order to evaluate the effectiveness of the proposed scheme, it is employed for the parts classification task.

Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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