Original paper
Emulator embedded neural networks for multi-fidelity conceptual design exploration of hypersonic vehicles
Volume: 64, Issue: 5, Pages: 2999 - 3016
Published: Jul 29, 2021
Abstract
In this work, an emulator embedded neural network is proposed for efficient modeling of high-dimensional predictors with multi-fidelity data sources. The emulators represent prior knowledge or expertise implemented intrusively into a neural network in forms of legacy models, physics-based models, surrogate models, etc. In this research, multi-fidelity models are embedded into selected neurons of the hidden layers to accelerate neural network...
Paper Details
Title
Emulator embedded neural networks for multi-fidelity conceptual design exploration of hypersonic vehicles
Published Date
Jul 29, 2021
Volume
64
Issue
5
Pages
2999 - 3016
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