Journal of Inequalities and Applications

Table 3 Numerical results of μ for Algorithm 1 when \(\beta =0.9\) for Dataset 1

From: New inertial self-adaptive algorithms for the split common null-point problem: application to data classifications

μ	Training	Loss
μ	Training	Train	Test
0.1	0.0870	0.245923	0.224461
0.2	0.0846	0.243328	0.222218
0.3	0.0829	0.241784	0.221118
0.4	0.0830	0.240556	0.220319
0.5	0.0838	0.239611	0.219739
0.6	0.0872	0.238817	0.219257
0.7	0.0872	0.238143	0.218838
0.8	0.0870	0.237596	0.218483
0.9	0.0848	0.237138	0.218174

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