no code implementations • 30 Jun 2022 • Elizabeth J Cross, Samuel J Gibson, Matthew R Jones, Daniel J Pitchforth, Sikai Zhang, Timothy J Rogers
The chapter will demonstrate how grey-box models, that combine simple physics-based models with data-driven ones, can improve predictive capability in an SHM setting.
BIG-bench Machine Learning Physics-informed machine learning +1
no code implementations • 27 Oct 2021 • Sikai Zhang, Hong Zheng, Hongyi Su, Bo Yan, Jiamou Liu, Song Yang
The main novelty of the model is the integration of time series of four different time granularities: the original time series, together with hourly, daily, and weekly time series.
1 code implementation • 15 Jun 2021 • Sikai Zhang, Tingna Wang, Keith Worden, Elizabeth J. Cross
The supporting theorems developed for the feature selection method are fundamental to the understanding of the canonical correlation analysis.
1 code implementation • 21 Jan 2021 • Sikai Zhang, Zi-Qiang Lang
The proposed method is comprehensively compared with the mutual information based feature selection methods and the embedded methods using both synthetic and real world datasets.