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Abstract：
This paper proposes the combination of particle swarm optimization and adaptive moment estimation optimization (PSO-Adam) for mobile positioning. PSO-Adam is proposed to improve the accuracies of neural network models. In experiments, the results show that the accuracy of the proposed PSO-Adam is higher than the accuracies of adaptive moment estimation (Adam) optimization and particle swarm optimization (PSO) for mobile positioning. © 2022 IEEE.
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Year： 2022
Page： 685-686
Language： English
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WoS CC Cited Count： 0
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ESI Highly Cited Papers on the List： 0 Unfold All
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30 Days PV： 3
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