Automobilecompaniesthatspendbillionsofdollarsannuallytowardswarrantycost,givehighprioritytowarrantyreductionprograms.Forecastingofautomobilewarrantyperformanceplaysanimportantroletowardstheseefforts.Theforecastingprocessinvolvespredictionofnotonlythespecificmonths-in-service(MIS)warrantyperformanceatcertainfuturetime,butalsoatfutureMISvalues.However,'maturingdata'(alsocalledwarrantygrowth)phenomenathatcauseswarrantyperformanceatspecificMISvaluestochangewithtime,makessuchaforecastingtaskchallenging.Althoughwarrantyforecastingmethodssuchaslog-logplotsanddynamiclinearmodelsappearinthispaperweuseanartificialneuralnetworkfortheforecastingofwarrantyperformanceinpresencetestingerrorsusingresponsesurfacemethodology.Thisapplicationshowstheeffectivenessofneuralphenomena.