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It is based on a purely data driven model and a nonlinear observer constructed from it.
In addition the data driven model can indicate the variable spaces for which more experiments are needed.
One of the Brussels Radiation Belt Workshop recommendations was the establishment of a near-real-time data driven model of the inner magnetospheric energetic particle population (L < 8).
The purpose of the data driven model applied to experimental data is only to improve the models based on physical processes, i.e., mechanistic models.
EvalDRC based on Radiance with a data driven model of the films' BSDF evaluates the window configurations in the whole year.
The algorithm consists of two parts: an environmental data driven model for the occupancy status detection and an integrated comfort algorithm for operating the indoor devices.
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The idea is aimed at improving predictive capability of a data-driven model by combining different models within a composite data-driven model.
In this paper, a novel data-driven model predictive control (D2-MPC) approach for regeneration timing of LNTs is proposed, allowing us to overcome these issues.
We show that the novel data-driven model is able to learn (with high accuracy) the complex relationships between the UCS of JG material and its contributing factors.
In this paper, a novel data-driven model, called KL GP, is proposed based on Karhunen Loève (KL) decomposition and Gaussian process (GP) models.
It is worth noting that during training of the proposed data-driven model we did not take into account any prior knowledge about the data generation process.
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