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Cluster test selection is proposed as an efficient regression testing approach. It uses some distance measures and clustering algorithms to group tests into some clusters. Tests in a same cluster are considered to have similar behaviors. A certain sampling strategy for the clustering result is used to build up a small subset of tests, which is expected to approximate the fault detection capability...
Vegetation reflectance spectra in field with spectrometer to be tested in this study, used eight kinds of spectral parameters to analysis spectral of vegetation, six kinds of heavy metal content in plant leaves to be measured, then the regression model from the spectral characteristic parameters to the heavy metal content can be built, according to this can inverse heavy metal content with spectral...
Accurate springback prediction and control is essential for sheet metal forming. In this paper, back propagation (BP) neural network and genetic algorithm (GA) was introduced to predict springback of complex sheet metal forming parts. GA was used to optimize the weights of BP neural network and the results were compared with those of traditional BP neural network and regression model. The comparison...
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