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Table 3 Range of input features for generating regression dataset

From: Novel sensitivity method for evaluating the first derivative of the feed-forward neural network outputs

Function

Range of input features

\({R}_{1}\)

\({x}_{1}\sim U\left(0, 1\right); {x}_{2}\sim U\left(1, 2\right); {x}_{3}\sim U\left(0.5, 5\right)\)

\({R}_{2}\)

\({x}_{1}\sim U\left(-1, 1\right); {x}_{2}\sim U\left(0, 5\right); {x}_{3}\sim U\left(0, 3\right)\)

\({R}_{3}\)

\({x}_{1}\sim U\left(-1, 1\right); {x}_{2}\sim U\left(0, 5\right); {x}_{3}\sim U\left(0, 3\right);{x}_{4}\sim U\left(0, 2\right)\)