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A recurrent neural network model is developed and trained from time-sequential data obtained through experiments. The loss value and accuracy of the model on training, validation, and test datasets are discussed, showing a high fidelity of the achieved model.

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This page is a summary of: Recurrent Neural Network Flow Rate Modeling of Piezoelectric Injectors in Cooling Testbeds, Journal of Thermophysics and Heat Transfer, October 2023, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.t6833.
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