Research Article
Online Semisupervised Learning Approach for Quality Monitoring of Complex Manufacturing Process
Table 13
Classification performance for sensitivity analysis of ParsNet++ in the next batch prediction.
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| | 0.9019 +/− 0.0218 | 0.9019 +/− 0.0218 | 0.9019 +/− 0.0218 | 0.9204 +/− 0.0116 | | 0.9055 +/− 0.0204 | 0.9055 +/− 0.0204 | 0.9055 +/− 0.0204 | 0.9182 +/− 0.0139 | | 0.9123 +/− 0.0146 | 0.9123 +/− 0.0146 | 0.9123 +/− 0.0146 | 0.9135 +/− 0.0149 | | 0.9204 +/− 0.0129 | 0.9204 +/− 0.0129 | 0.9204 +/− 0.0129 | 0.9183 +/− 0.0124 |
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Bold value shows the parameters that we used in the experiment.
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