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Table 5 95% Confidence interval for each variable

From: Deep learning-based optimal placement of a mobile HAP for common throughput maximization in wireless powered communication networks

Rows

WDs

Y

X

HAPtime

Y/rows

X/rows

8

6

[3.4187, 3.6514]

[3.3443, 3.6307]

[0.9306, 0.9354]

[0.4273, 0.4564]

[0.4180, 0.4538]

8

10

[3.3970, 3.5800]

[3.3422, 3.5148]

[0.9179, 0.9223]

[0.4246, 0.4475]

[0.4178, 0.4393]

12

6

[5.3586, 5.7825]

[5.1221, 5.5118]

[0.9552, 0.9579]

[0.4465, 0.4819]

[0.4268, 0.4593]

12

10

[5.4430, 5.6830]

[5.4283, 5.7185]

[0.9489, 0.9518]

[0.4536, 0.4736]

[0.4524, 0.4765]

16

6

[7.1827, 7.7029]

[7.1240, 7.7638]

[0.9677, 0.9694]

[0.4489, 0.4814]

[0.4453, 0.4852]

16

10

[7.3214, 7.6478]

[7.3392, 7.6891]

[0.9620, 0.9634]

[0.4576, 0.4780]

[0.4587, 0.4806]

  1. This table describes the 95% confidence interval of some variables from the experimental results using test dataset, are same to as Tables 3 and 4