عنوان المقالة: Breast Cancer Diagnosis Using Genetic Algorithm for Training Feed Forward Back Propagation
نور كاظم ايوب | Noor Kadhim Ayoob | 1439
نوع النشر
مؤتمر علمي
المؤلفون بالعربي
د. حسين عطية, نور كاظم ايوب, اسراء عبد الله حسين
المؤلفون بالإنجليزي
Noor Kdhim Ayoob,Prof.Dr. Hussein AttyaLafta, Asraa Abdullah Hussein
الملخص الانجليزي
Biological system such as neural networks and genetic algorithms are adapted to improve the doctors experience for diagnosis of illnesses. This work is introduced an approach for diagnosing breast cancer via classifying a well-known WBCD dataset based on a hybrid neurogenetic system. The suggested approach showed a good behavior and excellent classification accuracy through the implementation of several trials using different number of test samples. The accuracy of system has been reached to 100% in the best trial and it is exceeding 97% in other experiments.
تاريخ النشر
13/07/2017
الناشر
IEEE
رقم المجلد
رقم العدد
رابط DOI
10.1109/NTICT.2017.7976101
رابط خارجي
https://ieeexplore.ieee.org/abstract/document/7976101
الكلمات المفتاحية
GENETIC ALGORITHM; NEURAL NETWORK; BREAST CANCER; WBCD; NEUROGENETIC
رجوع