In　conventional　echo　stat　network　(ESN),　the　reservoir　are　randomly　generated,　then　the　spectral　radius　of　the　reservoir　is　scaled　to　lower　than　1.　In　this　method,　only　the　necessary　condition　for　echo　state　property　(ESP)　of　ESN　is　satisfied　while　the　sufficient　condition　is　ignored,　thus　the　ESN　stability　may　not　be　ensured.　In　this　paper,　with　the　predefined　singular　values　(smaller　than　1),　the　reservoir　is　constructed　by　using　singular　value　decomposition　(SVD)　method,　and　the　sufficient　condition　for　ESP　is　guaranteed.　The　simulation　results　show　that　the　learning　ability　and　prediction　accuracy　of　the　proposed　ESN　are　improved　simultaneously.　©　2017　IEEE.