医学信息
醫學信息
의학신식
MEDICAL INFORMATION
2013年
28期
5-5,6
,共2页
血吸虫性肝硬化%诊断%主成分分析法%BP神经网络
血吸蟲性肝硬化%診斷%主成分分析法%BP神經網絡
혈흡충성간경화%진단%주성분분석법%BP신경망락
Schistosomiasis Cirrhosis%Diagnosis%PrincipallComponent Analysis%BP neurallnetwork
将BP神经网络方法用于血吸虫性肝硬化的临床中疾病诊断研究。该方法首先利用主成分分析法提取特征变量的主成分，作为BP神经网络的输入；然后选择样本对BP神经网络进行训练；最后用训练好的BP神经网络对慢性血吸虫性肝硬化进行判别。仿真结果表明，该方法能有效区分慢性血吸虫性肝硬化和非血吸虫性肝硬化，同时，利用主成分分析法不仅简化了BP网络模型，还提高了预测的精度。
將BP神經網絡方法用于血吸蟲性肝硬化的臨床中疾病診斷研究。該方法首先利用主成分分析法提取特徵變量的主成分，作為BP神經網絡的輸入；然後選擇樣本對BP神經網絡進行訓練；最後用訓練好的BP神經網絡對慢性血吸蟲性肝硬化進行判彆。倣真結果錶明，該方法能有效區分慢性血吸蟲性肝硬化和非血吸蟲性肝硬化，同時，利用主成分分析法不僅簡化瞭BP網絡模型，還提高瞭預測的精度。
장BP신경망락방법용우혈흡충성간경화적림상중질병진단연구。해방법수선이용주성분분석법제취특정변량적주성분，작위BP신경망락적수입；연후선택양본대BP신경망락진행훈련；최후용훈련호적BP신경망락대만성혈흡충성간경화진행판별。방진결과표명，해방법능유효구분만성혈흡충성간경화화비혈흡충성간경화，동시，이용주성분분석법불부간화료BP망락모형，환제고료예측적정도。
The method of BP neurallnetwork was used in the clinicalldisease diagnosis of the schistosomiasis. Firstly, the principallcomponent of characteristic variables were extracted which were as the inputs of the BP neurallnetwork; secondly, the BP neurallnetwork was trained by the selected samples; finally, the schistosomiasis cirrhosis was recognized by the trained BP neurallnetwork. The simulation results show that the BP neurallnetwork can Effectively distinguish the schistosomiasis cirrhosis from the non-schistosomiasis cirrhosis, and the introducing of the method of principallcomponent analysis not only simplifies the BP neurallnetwork modellbut also improve the prediction accuracy.
