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Article

A Situation Assessment Method with an Improved Fuzzy Deep Neural Network for Multiple UAVs

by 1,*, 1, 1 and 1,2
1
School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, China
2
China Academy of Launch Vehicle Technology, Beijing 100076, China
*
Author to whom correspondence should be addressed.
Information 2020, 11(4), 194; https://doi.org/10.3390/info11040194
Received: 8 March 2020 / Revised: 27 March 2020 / Accepted: 1 April 2020 / Published: 4 April 2020
To improve the intelligence and accuracy of the Situation Assessment (SA) in complex scenes, this work develops an improved fuzzy deep neural network approach to the situation assessment for multiple Unmanned Aerial Vehicle(UAV)s. Firstly, this work normalizes the scene data based on time series and use the normalized data as the input for an improved fuzzy deep neural network. Secondly, adaptive momentum and Elastic SGD (Elastic Stochastic Gradient Descent) are introduced into the training process of the neural network, to improve the learning performance. Lastly, in the real-time situation assessment task for multiple UAVs, conventional methods often bring inaccurate results for the situation assessment because these methods don’t consider the fuzziness of task situations. This work uses an improved fuzzy deep neural network to calculate the results of situation assessment and normalizes these results. Then, the degree of trust of the current result, relative to each situation label, is calculated with the normalized results using fuzzy logic. Simulation results show that the proposed method outperforms competitors. View Full-Text
Keywords: Situation assessment; fuzzy deep neural network; multiple UAVs; adaptive momentum; Elastic SGD Situation assessment; fuzzy deep neural network; multiple UAVs; adaptive momentum; Elastic SGD
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MDPI and ACS Style

Zhang, L.; Zhu, Y.; Shi, X.; Li, X. A Situation Assessment Method with an Improved Fuzzy Deep Neural Network for Multiple UAVs. Information 2020, 11, 194. https://doi.org/10.3390/info11040194

AMA Style

Zhang L, Zhu Y, Shi X, Li X. A Situation Assessment Method with an Improved Fuzzy Deep Neural Network for Multiple UAVs. Information. 2020; 11(4):194. https://doi.org/10.3390/info11040194

Chicago/Turabian Style

Zhang, Lin, Yian Zhu, Xianchen Shi, and Xuesi Li. 2020. "A Situation Assessment Method with an Improved Fuzzy Deep Neural Network for Multiple UAVs" Information 11, no. 4: 194. https://doi.org/10.3390/info11040194

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