162 / 2016-05-26 12:28:16

The research of quality characteristics selecting model based on adaboost algorithm

10208,10207,adaboost algorithm

In view of the complex product with a large number of local quality characteristics, puts forward to the selection method of local quality characteristics which is based on quality prediction model. Prediction model based on the adaboost algorithm, by studying a large number of statistical quality data , to build a high performance strong classifier, identify local quality characteristic data and predict the quality of the product overall performance. In this paper, using the prediction model, forecast the quality of overall performance by hypothetically improving the quality of one or a few characteristics，and then sift valuable quality characteristics. Through data simulation, found that the method can recognize consistency in the law from a lot of local quality data, and be able to quickly screen out valuable quality characteristics to quality improvement.