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- W2373890274 abstract "Data association is the key problem in the multi target tracking.JPDA based on the Hopfield neural network is one of the effective algorithms used to solve such a problem.However,it is very difficult to fix the optimal coefficients.Considering the existing algorithm,a new algorithm used to fix the optimal coefficients is proposed by this paper.Firstly,a new Lyapunov Energy Function is reconstructed.Secondly,variable factors of the optimal coefficients are introduced ,and the iterative formulas corresponding to those coefficients are presented.At last,a simulation is performed both on the existing algorithm and the modified algorithm.Compared to the existing algorithm,the modified algorithm not only can have the ability to fix the optimal coefficients on time but also can have nearly same estimated effects as the existing algorithm does.All these results can be proved by the simulation." @default.
- W2373890274 created "2016-06-24" @default.
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- W2373890274 date "2002-01-01" @default.
- W2373890274 modified "2023-09-25" @default.
- W2373890274 title "Research on the Algorithm of Multi-target Data Association Based-on Neural Network" @default.
- W2373890274 hasPublicationYear "2002" @default.
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