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Table 1.

Summary of the results obtained in the estimation of the ℓp parameter from the neural network and the MCMC fit, for the noiseless case and the three considered noise levels.

Noiseless S/N = 1 S/N = 1/2 S/N = 1/3
σn = 0 σn = 5 σn = 10 σn = 15
NN 1.3% 2.9% 5.2% 8.4%
MCMC 0.7% 2.5% 4.8% 7.8%

Notes. The values reported represent the mean percentage error (percentage difference between the input and the estimated ℓp value) computed over the entire test set of 1000 samples.

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