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Mining the Change of the Quality of Stored Grain
作者姓名:商志根  楼巍  周维民
作者单位:[1]Department of Automation, Yancheng Institute of Technology, Jiangsu 224003 [2]Department of Automation, Shanghai University, Shanghai 200072
摘    要:The quality of grain changes continually during its storage, including the change of its physical characteristics and physiological characteristics. This paper presents an approach to predict the change of the quality of stored grain with data mining technology. Logistic Regression, Decision Tree and Muitilayer Perceptron are applied to predict the change of the grains' quality control index and to obtain the grains' quality change probability. The grain sampling with higher probability can be processed earlier.

关 键 词:贮存器  数据库  MLP  DT  LR
收稿时间:2005-08-26

Mining the Change of the Quality of Stored Grain
SHANG Zhi-gen,LOU Wei,ZHOU Wei-min.Mining the Change of the Quality of Stored Grain[J].Journal of Donghua University,2006,23(4):107-110.
Authors:SHANG Zhi-gen  LOU Wei  ZHOU Wei-min
Abstract:The quality of grain changes continually during its storage, including the change of its physical characteristics and physiological characteristics. This paper presents an approach to predict the change of the quality of stored grain with data mining technology. Logistic Regression, Decision Tree and Multilayer Perceptron are applied to predict the change of the grains' quality control index and to obtain the grains' quality change probability. The grain sampling with higher probability can be processed earlier.
Keywords:grain storage  data mining (DM)  logistic regression ( LR)  decision tree (DT)  multilayer perceptron (MLP)
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