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Research on a method of completeness index based on complex model

Zheng Guan
Zheng Guan
, 
Gangyi Ding
Gangyi Ding
, 
Hosam Lafi Aljuhani
Hosam Lafi Aljuhani
 oraz 
Tianyu Huang
Tianyu Huang
   | 15 gru 2021
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Data publikacji: 15 gru 2021
Zakres stron: 533 - 544
Otrzymano: 16 cze 2021
Przyjęty: 24 wrz 2021
DOI: https://doi.org/10.2478/amns.2021.1.00058
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© 2021 Zheng Guan et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

The similarity evaluation block diagram of the feature selection test method.
The similarity evaluation block diagram of the feature selection test method.

Fig. 2

The calculation process of EX¯  \overline {{E_X}} in the track simulation.
The calculation process of EX¯  \overline {{E_X}} in the track simulation.

Fig. 3

The completeness distance index result between the generated data and the original data.
The completeness distance index result between the generated data and the original data.

Model P1 and model P2 completeness distance index EX experimental information table

Experimental parameters Condition example
Testing purposes The performance of the blue square model P1 and the blue square model P2 in different mid-markets, and its completeness distance index EX
Test function XE¯=1tm−t1∑i=t1tmREAtiSEAti \overline {{X_E}} = {1 \over {{t_m} - {t_1}}}\sum\limits_{i = {t_1}}^{{t_m}} {{{REA_{{t_i}}} \over {SEA_{{t_i}}}}}
Test environment Random Go, Windows7, VS2010
Contrast variable F0–4 (200), F5–9 (200), F10–14 (200), F15–19 (200) and F20–24(200)
Data set A complete game record of 2500 nine-way Go in the StoneBase game record
Data instance

Experimental information table of the relationship between generated knowledge and generated video

Experimental parameters Condition example
Testing purposes Use the complex model cognitive network to generate video and real video for observation distance EX
Test function XE¯=1tm−t1∑i=t1tmREAtiSEAti \overline {{X_E}} = {1 \over {{t_m} - {t_1}}}\sum\limits_{i = {t_1}}^{{t_m}} {{{REA_{{t_i}}} \over {SEA_{{t_i}}}}}
Test environment TensorFlow, Cuda, Windows7, VS2010
Contrast variable Frame 100, 200, 250, 275
Data set 600 video framed images of the Cityscape dataset
Data instance

Orbit simulation and observation system observation distance EX experimental information table

Experimental parameters Condition example
Testing purposes Orbit simulation and observation system observation distance EX, in the state of continuous 300 frames, the consistency of the motion of each entity
Test function XE¯=1tm−t1∑i=t1tmREAtiSEAti \overline {{X_E}} = {1 \over {{t_m} - {t_1}}}\sum\limits_{i = {t_1}}^{{t_m}} {{{REA_{{t_i}}} \over {SEA_{{t_i}}}}}
Test environment Random Go, Windows7, VS2010
Contrast variable Frame 100, 200, 250, 275
Data set A track simulation system
Data instance

Experimental result table of physical pixel distance of track system

Entity Frame 100 Frame 200 Frame 250 Frame 275
1 400, 696 505, 801 510, 795 490, 768
2 392, 688 498, 793 496, 779 473, 750
3 379, 673 492, 785 491, 772 457, 729

The completeness distance index EX experiment result table of track system simulation and acquisition source

Entity Frame 100 Frame 200 Frame 250 Frame 275
1 0.1562 0.1587 0.1546 0.1565
2 0.1495 0.1492 0.1457 0.1684
3 0.1874 0.1854 0.1871 0.1824

Table of experimental results of completeness distance index for EX model and P1 model

EX F0–4 (200) F5–9 (200) F10–14 (200) F15–19 (200) F20–24 (200)
P1 0.72 0.28 0.23 0.18 0.13
P2 0.83 0.18 0.14 0.12 0.06

Track system entity simulation two-dimensional position coordinate experiment result table

Entity Frame 100 Frame 200 Frame 250 Frame 275
1 (377, 241) (280, 283) (296, 317) (329, 329)
2 (386, 241) (288, 284) (313, 317) (346, 323)
3 (401, 239) (297, 286) (322, 322) (369, 326)
eISSN:
2444-8656
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics
Kanał RSS czasopisma