摘要
针对中医体质判定的特点,进行网络结构设计、学习算法改进,论证了BP神经网络应用于中医脉诊体质类型判定的合理性和优越性。与其他判定方法对比,显示了该方法的优势,且判定结果与中医的体质类型诊断结果相一致。这一方法的实现有利于中医学的广泛传播,并且能够解决中医资源有限这一难题。
Based on the characteristics of TCM constitution type determination, design of network structure and improvement of learning algorithm, the rationality and superiority of neural networks applied to determine constitution type in TCM pulse examination was demonstrated. Comparing with other determination methods, this method was excellent and the determination result was consistent with TCM constitution type. This method was conducive to the wide spread of TCM and can expand the limited resources of TCM.
出处
《中医杂志》
CSCD
北大核心
2014年第15期1288-1291,共4页
Journal of Traditional Chinese Medicine
关键词
BP神经网络
脉诊
体质类型
学习算法
BP neural networks
pulse examination
constitution type
learning algorithm
