2026-04-14T02:23:27Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/4456202025-11-08T08:25:15Zcom_2072_1033col_2072_452951
RECERCAT
author
Font Guixé, Albert
2025-11-08T08:25:15Z
2025-11-08T08:25:15Z
2025-07-10
http://hdl.handle.net/2117/445620
The project aims to develop a neural network that predicts the stiffness matrix of a mesh based on the radius of the inclusion in it. This would aim to enhance iterative solvers using preconditioners, reducing the necessity of large libraries of data. To achieve this, data will be obtained by simulating elastic problems with appropriate constraints, testing the data using a solver with a preconditioner. The final step is to create a neural network capable of providing the necessary data with minimal inputs.
http://creativecommons.org/licenses/by-sa/4.0/ Open Access Attribution-ShareAlike 4.0 International
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Neural networks (Computer science)
Finite element method
Neural Networks
Finite Element Methods
Proconditioners
Iterative Solvers
Xarxes neuronals (Informàtica)
Elements finits, Mètode dels
Iterative solvers for metamaterials modelling via machine learning
Bachelor thesis