Using　neural　networks,　a　highly　reliable　and　precise　system　to　display　low　power　dynamic　circuit　performance　statistical　characterization　is　proposed　in　this　paper.　The　proposed　model　successfully　estimates　the　nonlinear　changing　of　the　leakage　power,　the　active　power　and　the　delay　of　the　different　fan-in　low　power　dynamic　gates　with　the　dual　threshold　voltage　technique,　the　multiple-supply　technique　and　the　sleep　transistor　technique.　At　last,　the　precision　priority　of　estimating　system　is　obtained.　©　2010　IEEE.