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    Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies by Dennis Teutscher, Tyll Weber-Carstanjen, Stephan Simonis, Mathias J. Krause

    Published 2025-04-01
    “…The recurrent neural network outperformed the feedforward model, demonstrating superior generalization. It achieved a relative <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>L</mi><mn>2</mn></msup></semantics></math></inline-formula>-norm error of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>5</mn><mo>%</mo></mrow></semantics></math></inline-formula> for pressure and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>9.3</mn><mo>%</mo></mrow></semantics></math></inline-formula> for flow rate prediction on partially known data. …”
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