Single Neuron for Solving XOR like Nonlinear Problems

Table 4

Predictions Through the Proposed Model (in terms of threshold values (t₁, t₂), and scaling factor (b)).

Experiment no.	t1	t2	b
1	0.4982	0.5097	3.9651
2	0.5049	0.5079	3.97
3	0.4958	0.5113	3.9869
4	0.5099	0.4967	3.98
5	0.5015	0.4967	3.969
6	0.4903	0.5014	3.9693
7	0.5002	0.5076	3.9652
8	0.504	0.511	3.9638
9	0.4973	0.5138	3.9872
10	0.4995	0.4887	3.9773
11	0.5031	0.497	3.9777
12	0.4945	0.497	3.9802
13	0.5019	0.4989	3.9773
14	0.4974	0.4895	3.9688
15	0.4921	0.5024	3.9807
16	0.4943	0.5106	3.9858
17	0.5074	0.5101	3.9697
18	0.5075	0.4975	3.9686
19	0.4914	0.4959	3.9702
20	0.4974	0.4888	3.9772
21	0.5019	0.5138	3.9628
22	0.5084	0.5005	3.9631
23	0.5085	0.5055	3.964
24	0.5138	0.4993	3.9742
25	0.5063	0.5026	3.9634
26	0.5022	0.4901	3.9702
27	0.503	0.5147	3.9866
28	0.4992	0.4831	3.9636
29	0.512	0.4983	3.9696
30	0.4968	0.4975	3.9706
Mean (μ)	0.5014	0.5013	3.9726
Standard deviation (σ)	0.00614	0.00849	0.00781