Comparison of performance between back propagation and k-means on medical datasets

المؤلف

Husayn, Isra Abd Allah

المصدر

Journal of Babylon University : Journal of Applied and Pure Sciences

العدد

المجلد 26، العدد 3 (31 مارس/آذار 2018)، ص ص. 6-9، 4ص.

الناشر

جامعة بابل

تاريخ النشر

2018-03-31

دولة النشر

العراق

عدد الصفحات

4

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

In recent decades, and to this day computer technology has been used in applications and various fields including the medical field, which prompted many researchers to employ this technique in the design of decision support systems using many of the algorithms and methods for this purpose.

In this paper, k-means and back propagation are proposed to classify medical datasets and then compare the performance of these methods, practical experiments show back propagation has best results than k-means.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Husayn, Isra Abd Allah. 2018. Comparison of performance between back propagation and k-means on medical datasets. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 26, no. 3, pp.6-9.
https://search.emarefa.net/detail/BIM-1093625

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Husayn, Isra Abd Allah. Comparison of performance between back propagation and k-means on medical datasets. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 26, no. 3 (2018), pp.6-9.
https://search.emarefa.net/detail/BIM-1093625

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Husayn, Isra Abd Allah. Comparison of performance between back propagation and k-means on medical datasets. Journal of Babylon University : Journal of Applied and Pure Sciences. 2018. Vol. 26, no. 3, pp.6-9.
https://search.emarefa.net/detail/BIM-1093625

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

رقم السجل

BIM-1093625