Sparse Bayesian based NARX Modeling of Cortical Response: Introducing Information Entropy for Enhancing the Stability
N Zheng, Y Li, W Shi, Q Xie - Neurocomputing, 2025 - Elsevier
In this paper, an innovative Sparse Bayesian Learning (SBL)-based modeling approach
incorporating Information Entropy (IE) to enhance the stability is developed to create …
incorporating Information Entropy (IE) to enhance the stability is developed to create …
Estimation and optimal input design in sparse models
J Parsa - 2023 - diva-portal.org
Sparse parameter estimation is an important aspect of system identification, as it allows for
reducing the order of a model, and also some models in system identification inherently …
reducing the order of a model, and also some models in system identification inherently …