基于改进的BP神经网络的中医舌诊诊断研究

Research on TCM Inspection of Tongue Diagnosis Based on Improved BP Neural Networks

研究人工神经网络方法应用于中医舌诊诊断,通过分析传统BP算法的不足之处,提出了改进的方法,并采用改进的BP算法构建中医舌诊智能诊断的神经网络模型。实验结果表明:该中医舌诊智能诊断模型具有诊断能力较强、收敛速度较快,泛化能力较强等特点。

Presents the artificial neural networks is applied in TCM inspection of tongue diagnosis, analyze the disadvantages of the traditional BP algorithm to put forward the improved method, adopts improved BP algorithm to construct a neural networks model of TCM inspection of tongue intelligent diagnosis. The experimental result demonstrates that TCM inspection of the tongue diagnosis model has good diagnostic ability, fast convergence rate and good generalization ability.