Hybridization of a hidden Markov model using Elman neural network with application

25 Hybridization of a hidden Markov model using Elman neural network with application Omar S. Qasim omar.saber@uomosul.edu.iq College of Computer Science and Mathematics University of Mosul, Mosul, Iraq Received on: 22/10/2012 Accepted on:30 /01/2013 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.