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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 TablesĀ 3 and 4