Hybridization of the Artificial Immune Network Using the Backpropagation Neural Network

• Main Authors: Omar Qasim, Israa Mohammed
• Format: Article
• Language: Arabic
• Published: Mosul University 2013-12-01
• Series: Al-Rafidain Journal of Computer Sciences and Mathematics
• Subjects: artificial neural network; artificial immune network; pattern recognition
• Online Access: https://csmj.mosuljournals.com/article_163559_de5c0bd46d23f05bbf768c2307bccd8e.pdf

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).