Breast Cancer Classification with Wavelet Neural Network

被引:0
作者
Ucar, Kursad [1 ]
Kocer, Hasan Erdinc [2 ]
机构
[1] Selcuk Univ, Technol Fac, Dept Elect Elect Engn, Konya, Turkey
[2] Selcuk Univ, Technol Fac, Dept Elect Elect Engineer, Konya, Turkey
来源
2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP) | 2017年
关键词
Wavelet Neural Network; breast cancer; classification;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we propose a Wavelet Neural Network (WNN) classifier for breast cancer. WNN is a new kind of artificial neural network which is coming more popular these days. This method is based on the Wavelet Transform (WT) and classical neural networks. This paper explains how WNN classifies and uses formulas. The results of the experiments made to obtain the best results and the parameters affecting them are presented. In addition, the classical neural network has been trained and tested. The results of these two learning algorithms are also presented in comparison.
引用
收藏
页数:5
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