摘要
本研究将人工神经网络方法用于人血清荧光光谱法诊断癌症。采用反向传播神经网络方法 ,建立识别人血清荧光光谱的网络模型。参数经过训练 ,平均识别率高达 94 %。
The serum fluorescence spectrum mothed of cancer diagnosis is developed by using Artificial Neural Network. The Back Propagation Network is adopeted to set up the network model for serum fluorescence spectrum recognition. After training, the averaged rate of recognition is high to 94%.
出处
《中国农业大学学报》
CAS
CSCD
北大核心
2001年第3期6-10,共5页
Journal of China Agricultural University
关键词
人工神经网络
血清
荧光光谱
诊断
癌症
恶性肿瘤
artificial neural networks
serum
fluorescence spectrum
cancer
tumour diagnosis
