人工神经网络在中医诊断信息化中的应用

中医学是一个非常复杂的系统，临床证候之间、临床证候与诊断目标之间、临床证候与方药之间的关系具有非线性、复杂性、模糊性、非定量的特点。人工神经网络能从海量数据中提取隐含的有意义的知识，能模拟这种非线性映射关系，建立诊断、判别模型，做出前瞻性决策，正是这种优势使得人工神经网络技术有可能为解决中医脉象辨识信息化、中医舌象辨识信息化、中医证候辨识信息化中权值难以明确的问题提供更为科学的方法与途径。

Summary on the Application of Artificial Neural Network in Informatization ofChinese Medicine Diagnosis

Traditional Chinese medicine is a complex system, the relationship between the information of the disease, between the information and the target of diagnosis, between the information of the disease and the recipe and medicine is often nonlinear, complex, fuzzy and non quantitative. Artificial neural network (ANN) is good at discovering implicit knowledge from the massive data, adequately simulating this non-linear mapping. It can build model of diagnosis and discrimination, establish forward-looking decisions. Due to the above advantages, ANN technology maybe provide more scientific methods and ways for calculating the difficult to calculate weight in informatization of pulse identification, informatization of tongue identification, informatization of identification of syndromes in TCM.