摘要
本文运用人工神经网络的一典型模型——“反向传播”模型,以江苏某市1950～1985年有关气候和流脑发病等级资料为对象,建立了该种流行性疾病预测的计算机智能专家系统。预测效率达100％,结果表明,该方法性能良好,可望成为流行性疾病预测的有效的辅助手段。
Back-propagation model as a typical artificial neural network model was applied to the establishment of a computer intelligentiai expert system for epidemic cerebritis. The system was based on the grade of morbidity and the concerned climate conditing of a city in Jiangshu Province from 1950 through 1985. The success rate for predicting was 100%. The results showed that the performance of the approach was good and therefore it might be referred to as an effective assistant technique for predicting the epidemic disease.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
1994年第4期314-318,共5页
Journal of Biomedical Engineering
关键词
流行性
脑脊髓膜炎
神经网络
反向传播
Epidemic cerebritis Prediction Artificial neural network Back-propagation model.
