Representation and acquisition of expert knowledge for medical diagnosis system 醫(yī)療診斷系統(tǒng)專家知識的表達(dá)與獲取方法
Analyses the incompleteness of medical diagnosis experts knowledge and discusses the method of integrating expert system with neural network for the representation and acquisition of expert knowledge , and the single parameter dynamic searching algorithm which acts as the studying algorithm of neural network and works better than bp algorithm , and then presents an intelligent medical diagnostic system designed by integration of expert system and neural network for clinical diagnostic purpose and concludes from test the results that the method of integrating expert system with neural network is effective for representation and acquisition of expert knowledge for medical diagnosis system 討論了神經(jīng)網(wǎng)絡(luò)理論在智能醫(yī)療診斷系統(tǒng)方面的應(yīng)用,在分析醫(yī)療診斷專家知識不完備性的基礎(chǔ)上,研究了適應(yīng)醫(yī)療診斷系統(tǒng)專家知識表達(dá)與獲取的專家系統(tǒng)與神經(jīng)網(wǎng)絡(luò)集成方法.提出了采用單參數(shù)動(dòng)態(tài)搜索算法訓(xùn)練神經(jīng)網(wǎng)絡(luò),其效果明顯優(yōu)于傳統(tǒng)的bp算法.設(shè)計(jì)了專家系統(tǒng)與神經(jīng)網(wǎng)絡(luò)集成的心血管疾病智能醫(yī)療診斷系統(tǒng),在臨床實(shí)踐中取得了較好的效果,證明專家系統(tǒng)與神經(jīng)網(wǎng)絡(luò)的集成是醫(yī)療診斷系統(tǒng)專家知識表達(dá)與獲取的有效方法