Transfer　learning　study　on　vortex-induced　vibration　of　circular　and　bending　cylinders　in　laminar　flows.　Vortex-induced　vibrations　of　circular　and　bending　cylinders　have　been　detected　by　varying　flowrate　in　rectangle　cylinder.　The　vibration　date　in　different　position　of　the　cylinders　are　acquired　by　LMS　and　image　information　obtained.　The　dynamic　characteristics　of　vortex　shedding　are　analyzed　by　the　cylinder　vibration　and　flow　rate　signal.　The　experimental　data　of　the　circular　cylinder　vibration　is　used　as　auxiliary　data　set　and　a　few　data　of　the　bending　cylinder　vibration　as　target　data　set.　Both　of　auxiliary　and　target　data　sets　compose　the　training　set　which　is　trained　by　TrAdaboost　based　on　weight　iteration　adjustment.　The　result　compared　with　another　experimental　data　of　bending　cylinder　shows　that　the　transfer　learning　algorithm　has　a　reasonable　accuracy.