Particle Swarm Optimization for Hidden Markov Models with Application to Intracranial Pressure Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F06%3A03120561" target="_blank" >RIV/68407700:21230/06:03120561 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Particle Swarm Optimization for Hidden Markov Models with Application to Intracranial Pressure Analysis
Original language description
The paper presents new application of Particle Swarm Optimization for training Hidden Markov Models. The approach is verified on artificial data and further, the application to Intracranial Pressure (ICP) analysis is described. In comparison with Expectation Maximization algorithm, commonly used for the HMM training problem, the PSO approach is less sensitive on sticking to local optima because of its global character. However this advantage depends on character of the particular problem. The IC analysis is the case of such problem where it is suitable to use the PSO strategy. This is demonstrated by better classification result (85.1%) in comparison with the EM algorithm (76.3%).
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Analysis of Biomedical Signals and Images - Proceedings of Biosignal 2006
ISBN
80-214-3152-0
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
175-177
Publisher name
VUTIUM Press
Place of publication
Brno
Event location
Brno
Event date
Jun 28, 2006
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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