Breast Cancer Diagnosis Using WNN Based on GA

摘要：

Breast cancer diagnosis is an important field of medical research. In order to improve the accuracy of diagnosis, this article proposed a model of breast cancer diagnosis with wavelet neural network (WNN) based on genetic algorithm (GA). In this model, wavelet is used as the excitation function of the neural network, and genetic algorithm is used to optimize the weight of neural network. On the basis of it the WNN-GA implements learning step and built the WNN-GA model of breast cancer diagnosis. The result of the experiment shows that this algorithm can be used in breast cancer diagnosis effective and reliable.

关键词： Neural Network wavelet transform Genetic Algorithm Breast Cancer Diagnosis

作者: Xiaomei Yi Peng Wu Jian Li Lijuan Liu

作者单位: Department of Information Engineering of ZheJiang Agricultural & Forestry University,Hangzhou, China

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 367-374

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）