基于PSO-BP的应急通信感知装备效能评价方法

doi:10.12305/j.issn.1001-506X.2022.11.20

Abstract

Abstract:

The effectiveness evaluation of emergency communication and sensing equipment can support the development plan of corresponding equipment, while the existing evaluation methods are highly subjective and the adaptive capabilities need to be improved. Therefore, an improved back propagation (BP) neural network based on particle swarm optimization (PSO) algorithm for the evaluation of the effectiveness of emergency communication and sensing equipment is proposed. The method aims to establish objective and accurate effectiveness evaluation. Firstly, a three-level effectiveness evaluation index system is established which oriented to actual combat effectiveness. Secondly, the sample data is reduced in dimensionality through principal component analysis (PCA). Next, a BP neural network regression model is built, the weights and thresholds of BP neural network are optimized by the particle swarm algorithm and a PSO-BP neural network model is formed to avoid the local minimum problem. Finally, a neural network model that can evaluate the effectiveness of specific equipment is obtained. The case analysis shows that compared with the BP neural network model, the mean square error of PSO-BP is reduced by 28.18%. The results show that the PSO-BP model has higher accuracy.

Key words: emergency communication and sensing, effectiveness evaluation, back propagation (BP) neural network, particle swarm optimization (PSO), principal component analysis (PCA)

CLC Number:

TN91

Chenrui SHI, Lu TIAN, Zhan XU, Ruxin ZHI, Jinhui CHEN. Effectiveness evaluation method of emergency communication and sensing equipment based on PSO-BP[J]. Systems Engineering and Electronics, 2022, 44(11): 3455-3462.

Figures/Tables 14

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性能指标	测量量程	精度	稳定性能	功耗	权重
测量量程	1	4	2	3	0.46
精度	1/4	1	1/3	1/2	0.10
稳定性能	1/2	3	1	2	0.28
功耗	1/3	2	1/2	1	0.16

结构指标	重量	材质	防护等级	权重
重量	1	1/3	1/5	0.11
材质	3	1	1/3	0.26
防护等级	5	3	1	0.63

指标	组合权重	指标	组合权重
测量量程	0.30	重量	0.04
精度	0.07	材质	0.09
稳定性能	0.18	防护等级	0.22
功耗	0.10

序号	测量量程	精度	稳定性能	功耗	重量	材质	防护等级	评分
1	4	3	3	8	4	4	4	4.15
2	4	4	4	7	5	2	4	4.16
3	4	4	4	7	5	3	4	4.25
4	5	4	4	6	6	2	4	4.40
5	4	4	4	8	4	2	5	4.44
6	6	4	3	5	7	2	4	4.46
7	5	4	4	7	6	2	4	4.50
8	6	4	4	6	5	2	4	4.66
9	4	4	4	9	6	3	5	4.71
10	5	4	3	10	8	4	4	4.88
11	5	4	6	2	5	2	8	5.20
12	6	5	5	4	3	4	7	5.47
13	6	5	6	4	4	4	7	5.69
14	6	6	5	4	4	6	7	5.76
15	6	6	6	4	4	6	7	5.94
16	8	6	5	5	2	4	6	5.98
17	7	6	6	4	3	3	8	6.15
18	6	5	7	3	5	5	9	6.34
19	7	7	5	5	5	7	8	6.58
20	8	7	6	4	3	7	7	6.66
21	8	7	7	4	4	6	8	7.01
22	8	8	8	3	3	6	8	7.12
23	7	9	9	4	4	8	7	7.17
24	9	7	7	3	3	4	9	7.21
25	8	8	8	4	4	7	8	7.35
26	9	7	7	4	4	7	9	7.62
27	9	8	8	3	3	6	9	7.64
28	8	9	9	4	4	9	8	7.78
29	9	8	8	4	5	6	9	7.82
30	9	8	8	5	4	7	9	7.97

隐藏层节点数	MSE
2	0.094 2
3	0.092 3
4	0.090 5
5	0.087 2
6	0.094 8
7	0.088 6
8	0.088 1
9	0.094 6
10	0.089 7
11	0.102 2
12	0.111 9

Effectiveness evaluation method of emergency communication and sensing equipment based on PSO-BP

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评价次数	BP	PSO-BP
1	0.080 2	0.068 3
2	0.111 4	0.066 7
3	0.097 4	0.077 9
4	0.100 6	0.062 5
5	0.073 6	0.056 1
6	0.103 9	0.061 7
7	0.103 0	0.067 0
8	0.100 3	0.071 5
9	0.070 8	0.063 4
10	0.083 6	0.068 3
均值	0.092 5	0.066 4

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