In　laser　cutting,　many　factors　influence　cutting　quality.　An　intelligent　system　was　developed　in　order　that　the　cutting　parameters　can　be　created　quantitatively.　This　system　is　different　from　database　and　normal　expert　system.　It　combines　factor　experiment　method　and　artificial　neural　network　(ANN).　Only　a　few　tests　are　required　to　obtain　basic　data　and　then　the　test　results　are　input　into　the　ANN　system.　After　the　ANN　is　trained　and　learns　from　the　test　results,　the　system　can　produce　laser　cutting　knowledge　and　optimized　parameters.　Based　on　test　data　and　knowledge,　the　cutting　parameters　given　by　the　system　will　be　more　accuracy　and　reliable.　Finally　the　intelligent　system　was　applied　to　select　3D　position　laser　cutting　parameters.　It　shows　that　the　system　is　very　effective　and　useful.