基于BP神经网络的皮肤病诊断方法

自动诊断系统是当前人工智能研究中的一个重要课题,有着十分广泛的应用前景。本文提出了基于BP神经网络的皮肤病诊断方法,讨论了网络隐含层神经元数选取问题、网络输入矢量的标准化处理问题以及网络连接权值的初值选取问题。对366名皮肤病患者的数据做了自动诊断识别实验,实验结果表明,文中所设计的神经网络诊断方法比常用的最近邻方法更有效地降低了诊断错误率。

Diagnosis method for dermatosis based on BP neural network

The automatic diagnosis system is an important subject in the field of current artificial intelligence research,which has a very wide application prospects.This paper puts forward the diagnosis method for dermatosis based on BP neural network,and discusses the problem of determining the number of hidden layer's neural nodes,the problem of normalization of the input vector,and the problem of initialization of connection weights.The automatic diagnosis recognition test for the datum of 366 patients with skin ...