摘要
讨论了一种首先利用神经网络对各个特征进行学习,得到它们对癌症的隶属函数,然后再利用模糊神经网络对癌症进行分类的方法. 实现了癌症检测和分类的自动化,使癌症检测和分类的正确率得到很大提高.
A method of obtaining fuzzy membership function employing neural networks is discussed, and cancer classification by using fuzzy neural networks based on features extracted is also studied here. This method makes the cancer detection and classification automatical and improves the recognition rates largely.
出处
《大连理工大学学报》
CAS
CSCD
北大核心
1999年第6期816-819,共4页
Journal of Dalian University of Technology