A novel algorithm for parameter estimation of Hidden Markov Model inspired by Ant Colony Optimization

HMM is a powerful method to model data in various fields. Estimation of Hidden Markov Model parameters is an NP-Hard problem. We propose a heuristic algorithm called “AntMarkov” to improve the efficiency of estimating HMM parameters. We compared our method with four algorithms. The comparison was co...

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Detalles Bibliográficos
Autores principales: Emdadi, Akram, Ahmadi Moughari, Fatemeh, Yassaee Meybodi, Fatemeh, Eslahchi, Changiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6422281/
https://www.ncbi.nlm.nih.gov/pubmed/30923763
http://dx.doi.org/10.1016/j.heliyon.2019.e01299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6422281/
https://www.ncbi.nlm.nih.gov/pubmed/30923763
http://dx.doi.org/10.1016/j.heliyon.2019.e01299

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