| 模糊神经网络在腹痛的中医临床诊断中的应用 |
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| 引用本文： | 宋伟才,;吴艳霞. 模糊神经网络在腹痛的中医临床诊断中的应用[J]. 适用技术之窗, 2014, 0(10): 49-52 |
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| 作者姓名： | 宋伟才, 吴艳霞 |
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| 作者单位： | [1]江西中医药大学计算机学院,江西南昌330004; [2]江西中医药大学人文学院,江西南昌330004 |
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| 基金项目： | 江西省卫生厅中医药科研计划（编号：2013A160）;江西中医药大学科研课题（编号：2012ZR047） |
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| 摘 要： | 运用模糊神经网络（FNN）模型，对254例腹痛中的大肠聚、肝郁肋痛、湿热黄疸、湿热泄泻、食滞胃痛、大肠痈、虚寒泄泻、脾心痛、气滞腹痛9种中医临床病症进行辅助诊断，得到9种腹痛病症的准确率达到95.4%以上，从而FNN模型可以用在临床上作辅助诊断。
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| 关 键 词： | 模糊神经网络 训练函数 学习函数 性能函数 |
Application of Fuzzy Neural Network in the Diagnosis of Abdominal Pain in TCM |
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| Affiliation: | Song Weicai, Wu Yanxia ( 1.Computer Department, Jiangxi University of Traditional Chinese Medicine, Jiangxi Nanchasng 330004; 2.Institute of humanities, Jiangxi University of Traditional Chinese Medicine, Jiangxi Nanchasng 330004 ) |
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| Abstract: | We use Fuzzy Neural Network （FNN） model for secondary diagnosis in 254 cases of abdominal pain of nine kinds of qi stagnation in TCM clinical symptoms： the large intestine poly, liver hypochondriac, heat jaundice, heat diarrhea, food stagnation stomach, colon carbuncle, diarrhea and stomach, spleen heartache, pain. The accuracy can reach more than 95.4%, which means that FNN model can be used as an aid in the clinical diag-nosis. |
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| Keywords: | Fuzzy Neural Network Training Function Learning Function Performance Function |
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