An Advanced Broyden–Fletcher–Goldfarb–Shanno Algorithm for Prediction and Output-Related Fault Monitoring in Case of Outliers

<div>Using ABFGS and BFGS to predict output correlation. (a) The normal data contains 5% abnormal values. (b) The normal data contains 10% abnormal values. (c) The normal data contains 15% abnormal values.</div>

Journal of Chemistry

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Figure 3: An Advanced Broyden–Fletcher–Goldfarb–Shanno Algorithm for Prediction and Output-Related Fault Monitoring in Case of Outliers 