A novel local approximation approach for quantitative analysis of combat power index

Enze Guo; Guobin Liu; Yongjie Zou; Zhengtang Liu; Jian Sun; Hongde Zhang

doi:10.11884/HPLPB202537.240163

High Power Laser and Particle Beams, Volume. 37, Issue 7, 079001(2025)

A novel local approximation approach for quantitative analysis of combat power index

Enze Guo¹, Guobin Liu¹, Yongjie Zou¹, Zhengtang Liu¹, Jian Sun¹, and Hongde Zhang^2、*

Author Affiliations

¹Unit 63893 of the PLA, Luoyang 471003, China

²Communications Sergeant School, Army Engineering University, Chongqing 400035, China

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Figures & Tables(6)

Fig. 1. Structure diagram of feedforward neural network

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Fig. 2. Calculation model for combat effectiveness index

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Fig. 3. Performance comparison of different methods

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Fig. 4. Comparison chart of error rates of different methods for each sample

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Table 1. A certain system indicator and corresponding combat effectiveness index (training sets)

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Table 1. A certain system indicator and corresponding combat effectiveness index (training sets)

No.	$ X_1 $	$ X_2 $	$ X_3 $	$ X_4 $	$ X_5 $	$ X_6 $	$ X_7 $	index
1	0.0080	0.3839	0.4643	0.2578	0.4651	1	1	0.1000
2	0.3867	0.6727	0.4041	0.9870	0.0361	1	0	0.6567
3	0.6247	0.0751	0.3834	0.9626	0.3681	0	1	0.4802
4	0.8994	0.6203	0.3388	0.8733	0.4711	0	1	0.5627
5	0.7807	0.6020	0.5827	0.7677	0.3319	0	0	0.4575
6	0.5801	0.6814	0.4982	0.5691	0.6989	0	1	0.4807
7	0.6861	0.9761	0.5345	0.0551	0.3001	1	0	0.5307
8	0.9918	0.5446	0.1884	0.8012	0.2498	0	1	0.5325
9	0.1517	0.3264	0.9244	0.4749	0.7514	1	1	0.6498
10	0.0060	0.3241	0.1342	0.0568	0.2861	1	1	0.1000
11	0.3237	0.6433	0.7615	0.4408	0.4257	0	1	0.3989
12	0.1183	0.7009	0.8832	0.9238	0.7334	1	1	0.6995
13	0.3798	0.3365	0.1264	0.2612	0.3381	1	1	0.5844
14	0.5788	0.9003	0.5844	0.1539	0.1008	1	0	0.5619
15	0.4714	0.0867	0.4697	0.0271	0.5766	1	0	0.4416
16	0.8938	0.0379	0.7388	0.2354	0.4514	1	0	0.6032
17	0.1562	0.2596	0.2821	0.8051	0.6745	0	1	0.3453
18	0.3950	0.9450	0.0852	0.8615	0.8387	1	0	0.6977
19	0.3299	0.7363	0.8801	0.8847	0.7278	0	1	0.5007
20	0.0009	0.5256	0.4316	0.3064	0.7449	0	0	0.1000
21	0.2083	0.8960	0.2374	0.3735	0.8784	0	0	0.2980
22	0.2117	0.7423	0.8269	0.1996	0.0336	1	0	0.5211
23	0.6431	0.4766	0.1992	0.8318	0.1808	0	0	0.3949
24	0.9829	0.9610	0.4124	0.1020	0.6919	1	0	0.6040
25	0.2151	0.2478	0.8876	0.2154	0.8752	0	1	0.3405
26	0.3991	0.5650	0.3100	0.3312	0.2412	0	0	0.2705
27	0.8604	0.2769	0.6531	0.3415	0.0994	1	1	0.6933
28	0.4469	0.6820	0.8260	0.6095	0.7994	1	0	0.7053
29	0.7401	0.6015	0.5100	0.3157	0.8019	0	1	0.4477
30	0.0010	0.5982	0.7531	0.6396	0.8263	0	1	0.1000
31	0.1449	0.3029	0.3186	0.0775	0.0949	1	0	0.4080
32	0.5117	0.3233	0.8123	0.5060	0.6330	1	1	0.7331
33	0.8103	0.1576	0.8691	0.5492	0.8843	1	1	0.8037
34	0.2604	0.5971	0.2858	0.7397	0.2944	0	0	0.3059
35	0.1761	0.5774	0.0948	0.9358	0.2587	0	0	0.2748
36	0.3009	0.8167	0.4445	0.0062	0.5587	1	1	0.5218
37	0.3245	0.2170	0.7227	0.1615	0.8302	0	0	0.2582
38	0.3474	0.1725	0.3881	0.9169	0.7404	0	0	0.3641
39	0.5416	0.6636	0.7911	0.0836	0.1840	1	0	0.5270
40	0.0020	0.3116	0.6413	0.3540	0.8512	0	1	0.1000
41	0.6394	0.7194	0.0269	0.2757	0.6934	0	0	0.3169
42	0.5142	0.1377	0.0843	0.1952	0.0695	0	0	0.1917
43	0.3289	0.4986	0.5695	0.3578	0.9369	1	1	0.6825
44	0.7178	0.3608	0.9264	0.2859	0.5528	1	1	0.7160
45	0.6938	0.1595	0.1447	0.0897	0.5322	0	0	0.2009
46	0.5764	0.3444	0.6178	0.1244	0.3252	1	1	0.5985
47	0.8081	0.0461	0.3649	0.4704	0.7324	0	0	0.3727
48	0.4148	0.3836	0.9863	0.5829	0.1511	1	0	0.6372
49	0.3204	0.2348	0.5684	0.3432	0.2111	1	1	0.6068
50	0.0005	0.3179	0.8168	0.5232	0.3022	0	0	0.1000

Table 2. A certain system indicator and corresponding combat effectiveness index (testing sets)

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Table 2. A certain system indicator and corresponding combat effectiveness index (testing sets)

	$ X_1 $	$ X_2 $	$ X_3 $	$ X_4 $	$ X_5 $	$ X_6 $	$ X_7 $	index
1	0.0005	0.2067	0.1139	0.8710	0.7812	0	1	0.1000
2	0.1880	0.1795	0.2392	0.7679	0.8950	0	1	0.3629
3	0.2353	0.6651	0.2227	0.4676	0.1871	1	1	0.6112
4	0.2476	0.6042	0.6518	0.4204	0.8361	1	1	0.6800
5	0.1531	0.0344	0.9427	0.9131	0.8684	1	0	0.6126
6	0.3836	0.9837	0.8784	0.3039	0.7341	1	0	0.6526
7	0.1803	0.2427	0.1258	0.4698	0.4155	1	0	0.5014
8	0.3009	0.9656	0.8944	0.4122	0.7063	1	1	0.7264
9	0.1653	0.7884	0.0400	0.1822	0.6410	0	1	0.2820
10	0.0020	0.0360	0.3512	0.3792	0.7557	0	0	0.1000
11	0.8181	0.0879	0.7492	0.0687	0.9076	0	0	0.2601
12	0.1821	0.7894	0.9551	0.8734	0.2748	1	0	0.6354
13	0.8478	0.0628	0.4018	0.0943	0.3653	1	0	0.5010
14	0.2354	0.2679	0.7004	0.5210	0.7740	0	0	0.3096
15	0.2537	0.2642	0.5144	0.5220	0.6370	0	1	0.3634
16	0.8409	0.2052	0.5102	0.5375	0.0479	0	0	0.3665
17	0.2454	0.3239	0.0930	0.4991	0.2922	1	0	0.5214
18	0.2087	0.0236	0.6018	0.5521	0.5491	0	1	0.3359
19	0.7743	0.2130	0.0106	0.1927	0.9038	1	0	0.5665
20	0.0040	0.2646	0.0695	0.8439	0.4707	0	1	0.1000

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Enze Guo, Guobin Liu, Yongjie Zou, Zhengtang Liu, Jian Sun, Hongde Zhang. A novel local approximation approach for quantitative analysis of combat power index[J]. High Power Laser and Particle Beams, 2025, 37(7): 079001

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Paper Information

Category: Advanced Interdisciplinary Science

Received: May. 14, 2024

Accepted: Aug. 24, 2024

Published Online: Jul. 18, 2025

The Author Email: Hongde Zhang (hdzhang264@126.com)

DOI:10.11884/HPLPB202537.240163

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology