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15 October 2021 A design of command and control system based on neural network decision-making support algorithm
Jin Wang, Qinglu Yao, Bing Gao, Changfa Zhu
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Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 119330F (2021) https://doi.org/10.1117/12.2615128
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China
Abstract
In order to optimize the decision-making process of the traditional auxiliary decision-making model, the author used the feature of big data mining can extract or excavate hidden valuable information from complex and multi-scale massive data, designed a big data decision support model which is based on deep learning algorithm and improved the original “six libraries” decision model. Its principle and operation process were described deeply. The process provided intelligent and informational auxiliary methods for commander’s decision making, and improved the real-time and accuracy of Command and Control (CC) decision making. Furthermore, the further applications of data mining and deep learning algorithm in CC Information System were discussed.
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Jin Wang, Qinglu Yao, Bing Gao, and Changfa Zhu "A design of command and control system based on neural network decision-making support algorithm", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 119330F (15 October 2021); https://doi.org/10.1117/12.2615128
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KEYWORDS
Decision support systems
Convolution
Data modeling
Intelligence systems
Neural networks
Artificial intelligence
Control systems design
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