。1。,,。1 3 3.1 (1),3。3.2 ,ANN。,,,。,,,。,0.15,0.1。:[1] BalanG,TimminsP,Greene,D,etal.Invivo-invitrocorrelation(IVIVC)modelsformetforminaf-teradministrationofmodified-release(MR)oraldossageformstohealthyhumanvolunteers[J].JPharmSci,2001,90(8):1176-1185.[2] HuSR.TheapplicationtechnologyofANN[M].Changsha:NationalDefenceScienceandTechnologyUniversityPress,1993.73-437.[3] ErbRJ.Thebackpropagationneuralnetwork—aBayesianclassifier.Introductionandapplicabilitytopharmacokinetics[J].ClinPharmacokinet,1995,29(2):69-79.[4] ,, .[J].,1997,16(1):8-10.[5] ,,,.[J].,1981,13(4):45-50.Invivo-invitroCorrelationforErythromycinSustainedReleaseMicrocapsulesUsingArtificialNeuralNetworkLILing-Bing1, LIXiu2(1.Dept.ofPharmaceutics,ShandongUniversity;2.AffiliatedHospitalofShandongUniversity,Ji'nan250012)ABSTRACT:Sustainedreleasegelatinmicrocapsulesoferythromycinwerepreparedandinvivo-invitrocorrelationwasinvestigatedusingartificialneuralnetwork(ANN).InvitrodataandinvivodatawereusedastheANNmodelinputandoutput,respectively.Internalpredictabilitywasassessedbycom-paringobservedandpredictedvaluesforinvivodata.TheresultsshowedthatANNhadsatisfactoryinvi-vo-invitrocorrelation.KeyWords:erythromycinsustainedreleasemicrocapsules;artificialneuralnetwork;invivo-invitrocorrelationS34-67 Knoevenagel RenZJ[SynthCommun,2002,32:3475],Knoevenagel。168%,1180%~96%。,。[]S34-68 40% Bahu-layanD[SynthCommun,2002,32:3565]/40%5h,,635%~99%。,541%~90.5%。[ ]·612· ChineseJournalofPharmaceuticals2003,34(12)