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基于模糊BP神经网络的抑郁症分诊系统
引用本文:方莹. 基于模糊BP神经网络的抑郁症分诊系统[J]. 陕西工学院学报, 2010, 0(2): 22-24,39
作者姓名:方莹
作者单位:商丘师范学院计算机科学系,河南商丘476000
基金项目:国家社会科学基金资助项目(06BYY047); 河南省教育厅2008年自然科学研究项目(2008A520020)
摘    要:基于模糊逻辑和BP神经网络相结合的方式,提出了一种抑郁症的早期自动诊断方法,研究了抑郁症的分诊指标和分级标准的确定和模糊处理方法,把模糊量化的数据作为BP神经网络的输入,构建了合适的3层BP神经网络。仿真结果显示,综合运用模糊算法和BP神经网络的方法能达到优势互补的效果,构建的模糊神经网络用于抑郁症的诊断是可行的。

关 键 词:模糊逻辑  BP神经网络  抑郁症  诊断  隶属度

Classification system of depression diagnosis based on fuzzy BP neural network
FANG Ying. Classification system of depression diagnosis based on fuzzy BP neural network[J]. Journal of Shaanxi Institute of Technology, 2010, 0(2): 22-24,39
Authors:FANG Ying
Affiliation:FANG Ying(Computer Science Dept.of Shangqiu Normal College, Shangqiu,476000,China)
Abstract:Based on the convergence of fuzzy logic and BP neural network,an automatic depression diagnosis system in the early stage was proposed in this paper.The method to identify and fuzzily process the classification indicators and grading standards was researched,which can provide input fuzzy data to the BP neural network.Three-layer BP network was constructed.Simulation results show that by the integrated use of fuzzy algorithm and BP neural network method,complementary effects can be achieved and the fuzzy neural network can be built up for the diagnosis of depression,which is feasible.
Keywords:fuzzy logic  BP neural network  depression  diagnosis  degree of membership
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