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eess.SY2021
Sparse Bayesian Deep Learning for Dynamic System Identification
Hongpeng Zhou, Chahine Ibrahim, Wei Xing Zheng +1
This paper proposes a sparse Bayesian treatment of deep neural networks (DNNs) for system identification. Although DNNs show impressive approximation ability in various fields, sev…
eess.SY2019★ 3 cited
A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark
Hongpeng Zhou, Chahine Ibrahim, Wei Pan
Nonlinear system identification is important with a wide range of applications. The typical approaches for nonlinear system identification include Volterra series models, nonlinear…