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High dimensional output surrogate models for uncertainty and sensitivity analyses

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Figure 2.3: Boxplots of the relative errors for di↵erent numbers of components(r) using ANN with Isomap (M = 80 and 100) in the RCS example.
Figure 2.4: Representative examples of the predictions using ANN with Isomap(r = 5) and 100 training points in the RCS example.
Figure 3.1: Boxplots of the emulator errors on the test set {(⇠⇠⇠⇤j, y⇤j)}mtj=1 usingthe training set {(⇠⇠⇠j, yj)}mj=1 with m = 50 (left) and m = 100 (right).
Figure 3.2: Example predictions y⇤r,j (dashed lines) of the cell voltage duringthe discharge-charge cycle y⇤j (solid lines) using r = 5 for m = 50 (left) andr = 10 for m = 100 (right)
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