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...
Saved in:
主要作者: | Mazlan, Umi Hanim |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2009
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/11532/6/UmiHanimMazlanMFSKSM2009.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Memetic multi-objective evolutionary algorithms of radial basis function network for classification problems
由: Qasem, Sultan Noman
出版: (2011) -
Learning enhancement of radial basis function network with particle swarm optimization
由: Sultan Noman, Qasem Mohammed
出版: (2008) -
Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network
由: Zainudin, Muhammad Noorazlan Shah
出版: (2009) -
Learning enhancement of radial basis function neural network with harmony search algorithm
由: Ahmed, Mohamed Hassan
出版: (2013) -
Comparative study of feature selection method of microarray data for gene classification
由: Ghazali, Nurulhuda
出版: (2009)