There　are　many　conjugate　gradient　methods　to　solving　unconstrained　optimization　problems.　Compared　with　the　conjugate　gradient　method,　the　accelerated　conjugate　gradient　method　has　better　numerical　effects　for　the　unconstrained　optimization　problem.　In　this　paper,　we　propose　a　modified　conjugate　gradient　method　with　Wolfe　line　search,　which　generates　descent　direction.　Under　mild　conditions,　we　prove　that　the　proposed　method　is　globally　convergent.　Numerical　results　indicate　that　the　proposed　method　is　considerable　for　our　test　functions.