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Found 4 papers, 0 papers with code
Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems
One category of these is boundary value solvers, which are used to solve real-world problems formulated as differential equations with boundary conditions.
Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation
In this paper, we present a machine learning-based optimization workflow aimed at improving the homogeneity of spunbond nonwovens.
Machine Learning Optimized Approach for Parameter Selection in MESHFREE Simulations
Meshfree simulation methods are emerging as compelling alternatives to conventional mesh-based approaches, particularly in the fields of Computational Fluid Dynamics (CFD) and continuum mechanics.
Analysis of the fiber laydown quality in spunbond processes with simulation experiments evaluated by blocked neural networks
We present a simulation framework for spunbond processes and use a design of experiments to investigate the cause-and-effect-relations of process and material parameters onto the fiber laydown on a conveyor belt.
