Interval response data based system identification of multi storey shear buildings using interval neural network modelling

By Snehashish Chakraverty, Deepti Moyi Sahoo. 2014

How researchers see this paper

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

1. Magdalena Proszewska
2. Maciej Wołczyk
3. Marcin Mazur
4. Tomasz Trzcinski
5. Karol J. Piczak
6. Przemyslaw Spurek
7. Bartosz W'ojcik
8. Lukasz Pustelnik

Citations in the corpus

• Continual Learning with Guarantees via Weight Interval Constraints (2022, background): “Chakraverty & Sahoo (2014) presented an interval artificial neural network (IANN) that can handle input and output data represented as intervals.”
• Novel transformation-based response prediction of shear building using interval neural network (2017, methodology): “Chakraverty and Sahoo (2014) used INN model to solve system identification problem of a multi-storey shear buildings using interval response data.”
• HyperCube: Implicit Field Representations of Voxelized 3D Models (2021, methodology): “In neural networks interval arithmetic is used to train models on interval data [38, 39, 40] and produce neural networks that are robust against adversarial attacks [2, 3].”