关键词: 数据挖掘, 人工神经网络, 板形缺陷, 模式识别, 分层

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.

Key words: data mining, artificial neural network, flatness defect, pattern recognition, hierarchy