Hybridization of a hidden Markov model using Elman neural network with application | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 11, Volume 11, Issue 1, June 2014, Pages 25-42 PDF (909.47 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2014.163737 | ||
| Author | ||
| Omar Saber Qasim | ||
| College of Computer Science and Mathematics University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| This research aims to improve the performance of the work of hidden Markov model, which is limited to the positive integers as input, and through the use of Elman artificial neural network that have the ability to accept all types of data in the input space. The proposed model has proved that it is highly efficient in the classification of osteoporosis data compared with Elman artificial neural network on the one hand and the hidden Markov model on the other. | ||
| Keywords | ||
| Pattern Recognition; Elman neural network; hidden Markov model | ||
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