This　paper　presents　an　adaptive　predictive　correction　control　method　for　DC-DC　converter　based　on　sequential　neural　network.　In　this　method,　NARX　network　is　used　to　predict　the　output　voltage　in　the　transient　process　of　the　converter,　and　the　reference　value　of　the　controller　is　compensated　and　corrected,　so　as　to　realize　the　adaptive　control　of　the　converter.　Simulation　results　verify　the　feasibility　of　the　proposed　method.　Compared　with　traditional　PI　control,　the　proposed　method　can　effectively　suppress　voltage　fluctuation　in　the　transient　process　and　significantly　shorten　the　adjustment　time　of　the　converter,　which　is　expected　to　be　applied　in　high-performance　regulated　voltage　power　supply　and　distributed　power　generation.　©　2022　IEEE.