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GitHub / NaymaHassanEmu / Surrogate-model-optimization-with-Adaptive-sampling

Efficient Foil Shape Optimization Using Artificial Neural Network-Based Surrogate Model with Adaptive Sampling Strategy

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NaymaHassanEmu%2FSurrogate-model-optimization-with-Adaptive-sampling

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 5.8 MB
Dependencies parsed at: Pending

Created at: 8 months ago
Updated at: 3 months ago
Pushed at: 8 months ago
Last synced at: about 2 months ago

Topics: adaptive-sampling, aerodynamic-shape-optimization, ann, artificial-neural-networks, aso, cfd, computational-fluid-dynamics, hicks-henne, optimization, optimization-algorithms, optimization-based-adaptive-sampling, panel-method, slsqp, sobol-sequence, surrogate-based-optimization, surrogate-models, xfoil

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