Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

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The Summarize Of Improved HMM Model

Authors
Fangfang Shi, Xianyi Cheng, Xiang Chen
Corresponding Author
Fangfang Shi
Available Online May 2014.
DOI
10.2991/iccia.2012.151How to use a DOI?
Keywords
HMM, Markov family model, DDBHMM, genetic algorithm, EHMM
Abstract

The hidden markov model is a kind of important probability model of series data processing and statistical learning and it has been successfully applied in many engineering tasks. This paper introduces the basic principle of hidden markov model firstly, and then discusses the limitations of hidden markov model, as well as the improved hidden markov model which is put forward to solve these problems

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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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
10.2991/iccia.2012.151
ISSN
1951-6851
DOI
10.2991/iccia.2012.151How to use a DOI?
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/).

Cite this article

risenwbib
TY  - CONF
AU  - Fangfang Shi
AU  - Xianyi Cheng
AU  - Xiang Chen
PY  - 2014/05
DA  - 2014/05
TI  - The Summarize Of Improved HMM Model
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 627
EP  - 630
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.151
DO  - 10.2991/iccia.2012.151
ID  - Shi2014/05
ER  -