摘要
本文利用人工神经网络和遗传算法的融合技术构建了一个智能疾病诊断模型,该模型能针对不同疾病或诊断因子的变化,自适应地调整模型网络结构,表现出良好的泛化性和诊断精度。
Establishes an intellectual diagnosing model, based on artificial neural network and genetic algorithms, which can self-adaptively adjust its eonstyuetion according to various diseases or diagnostic factors. Proves also that adjusting self-adeptively the model network construction has generalization ability and accuracy by experiments.
出处
《医疗设备信息》
2007年第2期18-19,共2页
Information of Medical Equipment
关键词
神经网络
遗传算法
疾病诊断模型
neural network
genetic algorithms
diagnosing model
