title: Pulse image recognition using fuzzy neural network.
abstract: The automatic recognition of pulse images is the key in the research of computerized pulse diagnosis. In order to automatically differentiate the pulse patterns by using small samples, a fuzzy neural network to classify pulse images based on the knowledge of experts in traditional Chinese pulse diagnosis was designed. The designed classifier can make hard decision and soft decision for identifying 18 patterns of pulse images at the accuracy of 91%, which is better than the results that achieved by back-propagation neural network.
authors.forename: L S
authors.initials: LS
authors.lastname: Xu
authors.forename: Max Q -H
authors.initials: MQ
authors.lastname: Meng
authors.forename: K Q
authors.initials: KQ
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D017143:Fuzzy Logic; D006801:Humans; D008516:Medicine, Chinese Traditional / Q000379:methods*; D016571:Neural Networks, Computer; D010173:Palpation / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D011674:Pulse / Q000145:classification* / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity