Explainable Gated Bayesian Recurrent Neural Network for Non-Markov State Estimation
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, the …
learning holds a distinct advantage in learning models from offline data. Nevertheless, the …
GPNet: A Deep Learning Guided Projectiles Navigation Framework
J Wang, Z Deng, K Shen, Y Bo - IEEE/ASME Transactions on …, 2024 - ieeexplore.ieee.org
High-precision navigation of guided projectiles is the basis of accurate guidance and control
for projectiles. Microinertial navigation system (INS) of projectiles is faced with high …
for projectiles. Microinertial navigation system (INS) of projectiles is faced with high …
Multi-level Gated Bayesian Recurrent Neural Network for State Estimation
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, the …
learning holds a distinct advantage in learning models from offline data. Nevertheless, the …