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首页> 外文会议>ICCCI 2010;International conference on computer and computational intelligence >Body constitutional type in traditional Chinese medicine classification based on probilistic neural networks
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Body constitutional type in traditional Chinese medicine classification based on probilistic neural networks

机译：基于概率神经网络的中医分类中的体质类型

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摘要

In view of the limitations of classifying body constitutional type in traditional Chinese medicine (BCTTCM) with the traditional method, the probability neural networks method was put forward. The characteristic parameters of BCTTCM were obtained, and probilistic neural networks classifier was designed for BCTTCM classification. The classification rate of 10 independent cases was up to 80%, which indicated that the method was effective. The result showed that the method based the probabilistic neural network of BCTTCM classification is feasible.
机译：针对传统医学中身体体质类型分类的局限性，提出了概率神经网络方法。获得了BCTTCM的特征参数，并设计了能力神经网络分类器进行BCTTCM的分类。 10例独立病例的分类率高达80％，表明该方法是有效的。结果表明，基于概率神经网络的BCTTCM分类方法是可行的。

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