Being　aiming　at　motor　imagery　EEG,　a　recognition　algorithm　based　on　Neural　Network　Ensemble　(NNE)　is　presented.　The　main　features　of　left-right　hands　imagery　movement　are　obtained　by　using　discrete　wavelet　transform　(DWT),　then　a　NNE　model　is　constructed　by　Bagging　algorithm,　and　the　output　result　of　NNE　is　received　through　the　relative　majority　vote　method.　The　experiment　results　of　BCI　Competition　2003　database　show　that　the　recognition　rate　is　better　than　that　of　the　single　neural　network.　Moreover,　the　configuration　difficulty　of　single　neural　network　is　reduced,　and　the　generalization　ability　of　the　system　is　improved.