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GitHub / eismont21 / knowledge-surrogate-opt
A transformative approach to manufacturing optimization, focusing on the textile forming process. This research synergizes domain-specific knowledge with simulation modeling and introduces Bayesian optimization for efficient parameter space exploration.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eismont21%2Fknowledge-surrogate-opt
Stars: 1
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 1.11 MB
Dependencies: pending
Created: 12 months ago
Updated: 7 months ago
Last pushed: 5 months ago
Last synced: 5 months ago
Topics: bayesian-optimization, domain-knowledge-integration, fibre-draping, manufacturing-optimization, mc-dropout, simulation-modeling, surrogate-based-optimization, surrogate-models