Classification of breast cancer microarray data using radial basis function network
Breast cancer is the number one killer disease among women worldwide. Although this disease may affect women and men but the rate of incidence and the number of death is high among women compared to men. Early detection of breast cancer will help to increase the chance of survival since the early tr...
محفوظ في:
المؤلف الرئيسي: | Mazlan, Umi Hanim |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2009
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/11532/6/UmiHanimMazlanMFSKSM2009.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Memetic multi-objective evolutionary algorithms of radial basis function network for classification problems
بواسطة: Qasem, Sultan Noman
منشور في: (2011) -
Learning enhancement of radial basis function network with particle swarm optimization
بواسطة: Sultan Noman, Qasem Mohammed
منشور في: (2008) -
Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network
بواسطة: Zainudin, Muhammad Noorazlan Shah
منشور في: (2009) -
Learning enhancement of radial basis function neural network with harmony search algorithm
بواسطة: Ahmed, Mohamed Hassan
منشور في: (2013) -
Comparative study of feature selection method of microarray data for gene classification
بواسطة: Ghazali, Nurulhuda
منشور في: (2009)