本文就近10余年应用人工神经网络开展中医脉象识别分类的研究进行了综述，其中包括应用人工神经网络进行脉象识别分类，基于人工神经网络的中医脉象分类模型建立和基于不同神经网络算法识别中医脉象的比较研究。文章提出进一步研究应结合中医脉象的特点选取有效的特征值值及设计不同的分类器，应以实现临床常见脉象类别的准确识别为最终目标，根据分类识别的结果开展脉象形成机制研究，并将研究结果推广应用到临床。

This paper reviews the application of the artificial neural network in recognition and classification of TCM pulses, in terms of recognition and classification of pulses with the artificial neural network, establishment of the pulse classification model based on the artificial neural network, and comparative research of pulse recognition based on different artificial neural network algorithms. This paper also makes some proposals for the future research. That is, to select efficient eigen values in combination with the characteristics of TCM pulses and correspondingly design different artificial neural network classifiers, so as to realize the accurate recognition of common pulses in clinics; to study the pulse formation mechanism based on recognition and classification results, and facilitate its application in clinics.

国家“十一五”科技支撑计划经费资助（2006BAI08B01-4）：中医四诊信息规范采集和融合方法的研究，负责人：王忆勤；上海市第三期重点学科（S30302）：中医诊断学，负责人：王忆勤。