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

Zhan Jun Liu

doi:10.4028/www.scientific.net/AMR.988.540

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 988The Defect Diagnosis of Sheet Drawing on...

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.

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Periodical:

Advanced Materials Research (Volume 988)

Pages:

540-543

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.988.540

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Online since:

July 2014

Authors:

Zhan Jun Liu

Keywords:

Bm Network, Drawing, Information Merge, Self-Associate, Testing Defect

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