Open Access

表5

不同算法的KL距离比较

仿真网络 样本数量 ML ME MAP CML CME QMAP CMAP
Asia 40 7.58±1.50 3.85±0.28 2.28±0.90 5.77±1.57 1.91±0.35 0.83±0.16 1.49±0.13
80 8.60±2.52 3.11±0.11 2.16±0.87 6.99±1.34 1.63±0.41 0.73±0.06 1.31±0.27
120 9.02±2.26 2.82±0.37 1.63±0.27 7.62±1.35 1.36±0.13 0.70±0.08 1.07±0.10
160 7.39±2.62 2.46±0.14 1.50±0.30 6.54±1.18 1.26±0.07 0.62±0.12 1.02±0.09
200 6.40±2.58 2.35±0.10 1.47±0.29 6.50±1.18 1.22±0.06 0.58±0.06 1.01±0.14
Alarm 40 291.17±33.07 139.75±3.69 118.26±11.76 119.34±10.73 85.48±3.71 41.09±2.41 79.87±5.17
80 250.65±25.93 124.12±5.21 97.88±7.70 119.27±10.87 74.33±3.12 37.46±1.81 69.73±3.45
120 231.28±26.27 113.62±3.91 89.23±6.45 114.79±7.04 68.68±2.65 34.71±1.33 63.94±2.95
160 243.75±19.58 106.85±3.09 82.50±4.61 105.81±4.52 64.76±1.97 32.64±1.06 59.84±2.50
200 204.81±15.27 99.78±1.97 78.55±4.62 99.48±4.24 60.95±1.75 30.32±1.10 56.96±2.24
Win95PTs 40 243.21±34.33 153.13±1.20 133.16±6.02 128.15±6.01 106.36±2.50 64.34±1.07 99.38±2.38
80 314.25±51.42 143.58±1.57 127.32±3.70 152.78±8.50 97.97±1.26 60.56±1.44 91.02±2.30
120 342.26±52.10 136.31±0.87 126.46±3.90 156.71±11.32 92.79±1.16 57.56±1.79 86.22±2.24
160 360.02±37.02 130.75±1.24 123.28±2.56 161.05±16.61 86.15±0.57 55.49±1.15 76.86±0.57
200 355.96±50.76 127.14±0.74 119.28±4.84 145.57±22.66 132.26±1.70 53.56±0.94 79.12±1.11
Andes 40 1 365.36±70.07 272.13±2.01 242.97±7.91 785.21±27.65 132.26±1.70 48.97±1.37 130.08±1.98
80 1 145.18±63.38 215.28±1.93 201.50±6.03 681.91±30.42 101.50±1.47 40.71±1.07 99.21±1.03
120 960.89±56.62 185.86±2.79 170.67±7.11 604.48±28.40 85.44±1.13 34.64±0.95 82.79±2.08
160 900.49±74.10 165.42±2.85 155.44±8.54 566.47±31.05 74.51±1.17 30.61±0.30 72.73±1.20
200 852.74±67.54 148.97±2.67 143.92±9.74 530.65±29.11 66.20±1.11 28.33±1.04 65.17±0.93

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