Journal of System Simulation
Abstract
Abstract: In the face of the problem of evaluating the detection capability effectiveness of the maritime unmanned cross-domain collaborative system, it is necessary to study the evaluation indexes and evaluation algorithm. In this paper, the robot's own parameters and environmental parameters are combined to build a calculation model for evaluation indexes, such as detection coverage rate, repeated detection rate, the number of pixels per unit area, and energy as well as an evaluation system for detection capability of the maritime unmanned cross-domain collaborative system. The subjectivity in the evaluation process is reduced, and training data is generated by the availability dependability capability (ADC) method combined with analytic hierarchy process. The multilayer perceptron (MLP) neural network method was used to objectively measure the effectiveness of the system. The results showed that the size of the generated data set reached 20,000, and the evaluation error of the model was less than 3%, which verified its effectiveness and applicability. Meanwhile, the PyQt5 framework was used to build the evaluation system interface, realizing the functions of environment modeling, data entry, and effectiveness evaluation.
Recommended Citation
Hu, Hongyu; Gao, Tianzhu; and Gu, Haitao
(2024)
"Design and Implementation of Maritime Unmanned Cross-Domain Collaborative Effectiveness Evaluation System Based on MLP,"
Journal of System Simulation: Vol. 36:
Iss.
11, Article 4.
DOI: 10.16182/j.issn1004731x.joss.23-0866
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss11/4
First Page
2542
Last Page
2551
CLC
TP391.9
Recommended Citation
Hu Hongyu, Gao Tianzhu, Gu Haitao. Design and Implementation of Maritime Unmanned Cross- Domain Collaborative Effectiveness Evaluation System Based on MLP[J]. Journal of System Simulation, 2024, 36(11): 2542-2551.
DOI
10.16182/j.issn1004731x.joss.23-0866
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