Parameter Estimation of a Skill Evaluation Model

DOI

10.2991/jrnal.2017.4.3.6How to use a DOI?

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 Atlantis Press.

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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TY  - JOUR
AU  - Kazuo Kawada
AU  - Teruyuki Tamai
AU  - Toru Yamamoto
PY  - 2017
DA  - 2017/12/01
TI  - Parameter Estimation of a Skill Evaluation Model
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 205
EP  - 208
VL  - 4
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2017.4.3.6
DO  - 10.2991/jrnal.2017.4.3.6
ID  - Kawada2017
ER  -