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eess.SP2024
Explainable Bayesian Recurrent Neural Smoother to Capture Global State Evolutionary Correlations
Shi Yan, Yan Liang, Huayu Zhang +3
Through integrating the evolutionary correlations across global states in the bidirectional recursion, an explainable Bayesian recurrent neural smoother (EBRNS) is proposed for off…
eess.SP2023
Explainable Gated Bayesian Recurrent Neural Network for Non-Markov State Estimation
Shi Yan, Yan Liang, Le Zheng +3
The optimality of Bayesian filtering relies on the completeness of prior models, while deep learning holds a distinct advantage in learning models from offline data. Nevertheless,…