The Defect Diagnosis of Sheet Drawing on Self-Associate with Memory of Boltzmann Network

Abstract

The defect symptoms-reason of test sheet drawing is concluded. Using self-associate with memory of Boltzmann network and mix data merge does the intelligence diagnosis to the defect of test sheet-drawing , which is integrated with data , characteristic, decision grate and nerve network . A model of self-associate with memory of Boltzmann network is constructed. In order to reduce no confirm of defect analysis , the excellent diagnosis way is studied with the information of many sources fill . The result of actual number diagnosis and believing degree is given.