ramincludeitsconsideringeffectofotheralloyingelementsandtheeaseofextrapolationtohigherCreqandNieqvalues.ThisFunctionFitmethodcanbeusedforawiderangeofweldmetalcompositionsandowingtotheanalyticalformofthismodel,theFNcanbequantifiedeasily.However,theaccuracyofthismethodisnotgreaterthantheWRC-diagram.Viteketal.[,]soughttoovercomethemajorlimitationoftheconstitutiondiagramandtheFunctionFitmethodofnottakingintoaccounttheelementalinteractions,byusingneuralnetworksforpredictingferriteinSSwelds.Theimprovementinaccuracyinpredictingthedeltaferritecontentbyusingneuralnetworks,involvingafeed-forwardnetworkwithaback-propagationoptimizationscheme,hasbeenclearlybroughtintheirstudy.TheeffectofvariouselementsonthedeltaferritecontentforafewbasecompositionswasexaminedbycalculatingtheFNasafunctionofcomposition.However,itwasnotpossibleintheiranalysistodirectlyinterprettheelementalcontributionstothefinalFN.Thepredictionandmeasurementof度。