Hybridization of the Artificial Immune Network Using the Backpropagation Neural Network | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 17, Volume 10, Issue 4, December 2013, Pages 103-114 PDF (428.23 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2013.163559 | ||
| Authors | ||
| Omar Saber Qasim; Israa Rustum Mohammed | ||
| College of Computer Science and Mathematics University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| In this research building style simulation developed is applied in the field of pattern recognition medical patients osteoporosis through a process of integrating and hybridization between artificial immune network and back propagation neural network, where the focus was on the qualities positive and overcome the negative qualities possessed by each of these two technologies by building technology improved, have proven technical hybrid it with better results and high efficiency in the classification of cases patients osteoporosis compared with both artificial immune network (AIN) and back propagation neural network (BP). | ||
| Keywords | ||
| artificial neural network; artificial immune network; Pattern Recognition | ||
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