Genetic Algorithms Principles Towards Hidden Markov Model
In this paper we propose a general approach based on Genetic Algorithms (GAs) to evolve Hidden Markov Models (HMM). The problem appears when experts assign probability values for HMM, they use only some limited inputs. The assigned probability values might not be accurate to serve in other cases rel...
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| Format: | Article |
| Language: | English |
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EduSoft publishing
2011-10-01
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| Series: | Brain: Broad Research in Artificial Intelligence and Neuroscience |
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| Online Access: | http://brain.edusoft.ro/index.php/brain/article/view/232 |