基于模糊BP神经网络的抑郁症分诊系统

Classification system of depression diagnosis based on fuzzy BP neural network

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。

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.