< Back to previous page
Researcher
Astrid Tijskens
- Disciplines:Structural engineering, Other civil and building engineering
Affiliations
- Building Physics and Sustainable Design (Division)
Member
From1 Aug 2020 → 30 Nov 2022 - Building Physics Section (Division)
Member
From5 Oct 2015 → 31 Jul 2020
Projects
1 - 1 of 1
- Neural Networks as Metamodel for Hygrothermal Simulations of Building Components – Reducing the Calculation Time of Probabilistic AssessmentsFrom1 Oct 2015 → 24 Mar 2021Funding: BOF - Doctoral projects
Publications
1 - 9 of 9
- A convolutional neural network for the hygrothermal assessment of timber frame walls(2021)
Authors: Astrid Tijskens, Staf Roels, Hans Janssen
Number of pages: 8 - Hygrothermal assessment of timber frame walls using a convolutional neural network(2021)
Authors: Astrid Tijskens, Staf Roels, Hans Janssen
- Neural Networks as Metamodel for Hygrothermal Simulations of Building Components – Reducing the Calculation Time of Probabilistic Assessments(2021)
Authors: Astrid Tijskens, Staf Roels, Hans Janssen
- The impact of a reduced training subspace on the prediction accuracy of neural networks for hygrothermal predictions(2020)
Authors: Astrid Tijskens, Hans Janssen, Staf Roels
Pages: 1 - 39 - Using convolutional neural networks for hygrothermal predictions to extrapolate to other external climates(2020)
Authors: Astrid Tijskens, Hans Janssen, Staf Roels
- Optimising convolutional neural networks to predict the hygrothermal performance of building components(2019)
Authors: Astrid Tijskens, Hans Janssen, Staf Roels
Pages: 1 - 22 - Predicting the hygrothermal behaviour of building components using neural networks(2019)
Authors: Astrid Tijskens, Hans Janssen, Staf Roels
- Neural networks for metamodelling the hygrothermal behaviour of building components(2019)
Authors: Astrid Tijskens, Staf Roels, Hans Janssen
- A simplified dynamic zone model for a probabilistic assessment of hygrothermal risks in building components(2017)
Authors: Astrid Tijskens, Hans Janssen, Staf Roels
Pages: 717 - 722