Figure/Table detail

Dynamic Prediction Model Based on Multi-level LSTM Network for Multi-agent Attack and Defense Effectiveness
DINGWei;MINGZhenjun;WANGGuoxin;YANYan
Acta Armamentarii, 2023, 44(1): 176-192.   DOI: 10.12382/bgxb.2022.0192

评价指标参数平均值最小值最大值标准差中位数下分位点上分位点
任务完成度0.33570.29580.35650.02970.31990.30880.3476
红方作战效率0.02390.01220.04390.00980.02480.02150.0339
MAE作战成本0.04040.02340.06200.01470.04330.03010.0567
任务完成度0.32440.27710.33600.02450.30580.29830.3185
蓝方作战效率0.02440.01500.04070.01240.02620.02390.0381
作战成本0.03010.01960.03460.01300.02690.02540.0324
任务完成度0.21780.09560.44970.02260.26000.16040.3493
红方作战效率0.00350.00120.00610.00990.00380.00300.0049
MSE作战成本0.03310.01990.05660.01230.03190.02840.0410
任务完成度0.19450.10400.36020.02310.27600.20830.3018
蓝方作战效率0.00490.00240.00670.01240.00550.00280.0054
作战成本0.01890.01120.02830.01270.01880.01540.0223
任务完成度0.93770.93100.95550.01170.92540.92100.9252
红方作战效率0.97880.97600.99660.00870.99110.98100.9944
R作战成本0.95710.93620.97650.00960.96200.95190.9592
任务完成度0.93690.94730.97310.00930.95330.95230.9499
蓝方作战效率0.99250.98620.99870.00790.99340.99180.9956
作战成本0.96480.93900.98880.00910.96510.95540.9733
Table 10 Comparison of the prediction results of 40 testing sets
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