Journal of Computer and Communications

Vol.2 No.4(2014), Paper ID 43890, 10 pages

DOI:10.4236/jcc.2014.24028

 

A Policy-Improving System for Adaptability to Dynamic Environments Using Mixture Probability and Clustering Distribution

 

Uthai Phommasak, Daisuke Kitakoshi, Jun Mao, Hiroyuki Shioya

 

Division of Information and Electronic Engineering, Graduate School of Engineering, Muroran Institute of Technology, Hokkaido, Japan
Department of Information Engineering, Tokyo National College of Technology, Tokyo, Japan
Division of Information and Electronic Engineering, Graduate School of Engineering, Muroran Institute of Technology, Hokkaido, Japan
Division of Information and Electronic Engineering, Graduate School of Engineering, Muroran Institute of Technology, Hokkaido, Japan

 

Copyright © 2014 Uthai Phommasak, Daisuke Kitakoshi, Jun Mao, Hiroyuki Shioya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Phommasak, U. , Kitakoshi, D. , Mao, J. and Shioya, H. (2014) A Policy-Improving System for Adaptability to Dynamic Environments Using Mixture Probability and Clustering Distribution. Journal of Computer and Communications, 2, 210-219. doi: 10.4236/jcc.2014.24028.

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