| 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％。 |
| 关键词: 人工神经网络 血清 荧光光谱 诊断 癌症 恶性肿瘤 |
| DOI： |
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| 基金项目: |
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| Application of Artificial Neural Networks in Cancer Diagnosis |
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| Abstract: |
| 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%. |
| Key words: artificial neural networks,serum,fluorescence spectrum,cancer,tumour diagnosis |
