A Dual Memory Hybrid Neural Networks for Modeling and Prediction of Nonlinear Systems
Author:
Affiliation:
1. Electrical and Automatic Control Laboratory, Beijing General Research Institute of Mining and Metallurgy, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10623666.pdf?arnumber=10623666
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1. Tensor-Train-Based High-Order Dominant Eigen Decomposition for Multimodal Prediction Services
2. Bayesian updating of complex nonlinear FE models with high-dimensional parameter space using heterogeneous measurements and a batch-recursive approach
3. Research and Education in Computational Science and Engineering
4. Deep learning for the design of photonic structures
5. Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
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