摘要
研究了人工神经网络方法（NN）在生物医学工程和生命科学中的应用．提出了改进反传算法（MBP）并用于肺癌早期诊断：发现其对几类病人的识别和预测时，分类正确率高，临床诊断预测力强．
Artificial neural networks has been applied to biomedical engineering and life science. In this paper, a modified backpropagation algorithm (MBP) is developed for di-agnosis of lung cancer.This algorithm gives quite high correct recognition rate with its mean being 84. 5per cent.
出处
《应用科学学报》
CAS
CSCD
1997年第3期348-352,共5页
Journal of Applied Sciences
基金
日本文部省资助
中国国家教委资助
自然科学基金
关键词
神经网络
肺癌
早期诊断
鉴别诊断
诊断
artificial neural networks,modified backpropagation,diagnosis of diseases,lung cancer, biomedical pattern recognition
