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计算机应用 2009
Flatness defect pattern recognition with data mining technology
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Abstract:
The flatness defect pattern recognition based on data mining technology was proposed. In order to solve low accuracy of normal BP (Back Propagation) network, a novel data mining algorithm based on hierarchical BP model was presented. The new model with binary tree structure reduced prediction range of each network and adopted several networks for degree elevation. Compared with the normal BP model, the new system precision was improved remarkably. The experimental results show this method can meet the requirements of the producing process.