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- W2033927907 abstract "We propose a Particle Filter model that incorporates Particle Swarm Optimization for predicting systems with multiplicative noise. The proposed model employs a conventional multiobjective optimization approach to weight the likelihood and prior of the filter in order to alleviate the particle impoverishment problem. The resulting scheme is tested on a well-known test problem with multiplicative noise. Results are promising, especially in cases of high system and measurement noise levels." @default.
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- W2033927907 date "2008-07-12" @default.
- W2033927907 modified "2023-10-18" @default.
- W2033927907 title "Particle filtering with particle swarm optimization in systems with multiplicative noise" @default.
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- W2033927907 doi "https://doi.org/10.1145/1389095.1389104" @default.
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