Hidden Markov Model Representation Using Probabilistic Neural Network
Hidden Markov Model (HMM) is a statistical network used in knowledge representation in many applications. In the same system/application, we could have several HMMs that might have similar or different visible and invisible attributes. In this paper, a theoretical framework proposal based on Probabi...
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| Format: | Article |
| Language: | English |
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EduSoft publishing
2018-09-01
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| Series: | Brain: Broad Research in Artificial Intelligence and Neuroscience |
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| Online Access: | https://www.edusoft.ro/brain/index.php/brain/article/view/841/988 |