Complexity / 2020 / Article / Fig 1

Research Article

Sorting Data via a Look-Up-Table Neural Network and Self-Regulating Index

Figure 1

Illustration of two examples violating the monotonicity (a) and boundedness (b) properties of CDF, respectively. In both plots, the x-axis presents the values of unsorted elements in the test dataset and the y-axis represents the values of CDF. In a plot, the pink triangle-shaped points depict the CDF values predicted by a BP neural network, the blue points present the true CDF values of unsorted elements in the test dataset, and the lower and upper gray lines are the lower and upper bounds of the CDF (i.e., 0 and 1), respectively.

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