State Forecast Method of Electronic Equipments Based on Improved HMM and LS-SVM

DOI

10.2991/lemcs-15.2015.30How to use a DOI?

Keywords

Parameter estimation; Hidden Markov model(HMM); Least square support vector machine(LS-SVM); Multi-agent genetic algorithm (MAGA); State forecast

Abstract

For the deficiency that the traditional single forecast methods could not forecast the states of electronic equipments, a combined forecast method based on hidden Markov model (HMM) and least square support vector machine (LS-SVM) is presented. Multi-agent genetic algorithm (MAGA) is used to estimate parameters of HMM for overcoming the problem that Baum-Welch algorithm is easy to fall into local optimal solution easily. MAGA is used to estimate parameters of LS-SVM. On the base of these, the combined forecast model of electronic equipment states is established. The example analysis results shows the superiority of the combined forecast model at forecast precision, calculation speed and stability.

Copyright

© 2015, 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  - CONF
AU  - Jianzhong Zhao
AU  - Wen Ye
AU  - Yong Liu
AU  - Tao Jiang
PY  - 2015/07
DA  - 2015/07
TI  - State Forecast Method of Electronic Equipments Based on Improved HMM and LS-SVM
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 154
EP  - 157
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.30
DO  - 10.2991/lemcs-15.2015.30
ID  - Zhao2015/07
ER  -