摘要
本文采用人工智能的方法,在诺依曼体系机上模拟人工神经网络,建立疾病诊断模型,并给出实验分析。然后文章提出用遗传算法来优化神经网络结构,从而从整体上提升疾病诊断模型的性能。
The method of artificial intelligence was used to simulate artificial neural network and establish disease diagnostic model in this paper, and the experimental analysis was given too. Acordingly, it propesed that optimize the structure of neural network using genetic algorithms, so as to enhance the overall performance of disease diagnostic model.
关键词
人工智能
人工神经网络
优化
冠心病
artificial intelligence
artificial neural network
optimize
coronary heart disease
