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Gradient-enhanced multifidelity neural networks for high-dimensional function approximation
This model is a multifidelity version of gradient-enhanced neural networks (GENNs) as it uses both function and gradient information available at multiple levels of fidelity to make function approximations.
Computational Optimization, Modelling and Simulation: Recent Trends and Challenges
This 4th workshop on Computational Optimization, Modelling and Simulation (COMS 2013) at ICCS 2013 will further summarize the latest developments of optimization and modelling and their applications in science, engineering and industry.
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