Application of Neural Networks for Detection of Changes in Nonlinear Systems

By Sami F. Masri, Andrew W. Smyth, A. Chassiakos, T. Caughey, N. Hunter. 2000

240 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/810c5069042524fc62cb47716d2a4d91e8c6f0d5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Hojjat Adeli
2. Deepti Moyi Sahoo
3. Snehashish Chakraverty
4. Przemyslaw Spurek
5. Tomasz Trzcinski
6. Magdalena Proszewska
7. Marcin Mazur
8. O. D. Lautour

In Control and Systems Engineering

1. Hojjat Adeli
2. Deepti Moyi Sahoo
3. Snehashish Chakraverty

Citations in the corpus

• Damage classification and estimation in experimental structures using time series analysis and pattern recognition (2010, unknown): “4 such networks [36-41].”
• Interval response data based system identification of multi storey shear buildings using interval neural network modelling (2014, methodology): “An application of neural networks for detection of changes in nonlinear systems has been given by [19].”
• Novel transformation-based response prediction of shear building using interval neural network (2017, methodology): “Masri et al. (2000) used BPN for detecting damage, based on nonlinear system identification.”
• Neural Networks in Civil Engineering: 1989–2000 (2001, methodology): “Masri et al. (2000) describe application of neural networks to a nonparametric structural damage detection methodology based on nonlinear system identification approaches.”