Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm

Table 3

Average results about the experiment on generalized Gaussian random number generation; averages computed over 100 independent trials when the algorithm (7) was iterated 10 times.

POINTS 𝐵𝑦=^def𝛼𝛽^1/𝛼2Γ1/𝛼exp−𝛽||𝑦||^𝛼.(13)	200	400	600	800	1000
AVG. LEARN. TIME	0.0129	0.0159	0.0229	0.0281	0.0320
AVG. GEN. TIME	0.0511	0.0517	0.0500	0.0502	0.0513
AVG. DSC	0.0038	0.0018	0.0011	0.0007	0.0005