2026-04-17T14:55:23Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4456202025-11-08T08:25:15Zcom_2072_1033col_2072_452951

00925njm 22002777a 4500 dc Font Guixé, Albert author 2025-07-10 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://hdl.handle.net/2117/445620 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