thesis Leander Claes author 118290000-0002-4393-268X Lars Meihost author 24769 Benjamin Jurgelucks author 49 department ChaMP: Ein modellbasiertes Messverfahren zur Charakterisierung der frequenzabhängigen Materialeigenschaften von Piezokeramiken unter Verwendung eines einzelnen Probekörperindividuums project PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing project FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken für Leistungsschallanwendungen (NEPTUN) project 2023 eng Claes, Leander, et al. <i>Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks</i>. 2023. L. Claes, L. Meihost, B. Jurgelucks, Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks, GAMM Annual Meeting, Dresden, 2023. @book{Claes_Meihost_Jurgelucks_2023, place={GAMM Annual Meeting, Dresden}, title={Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks}, author={Claes, Leander and Meihost, Lars and Jurgelucks, Benjamin}, year={2023} } Claes, L., Meihost, L., &#38; Jurgelucks, B. (2023). <i>Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks</i>. Claes L, Meihost L, Jurgelucks B. <i>Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks</i>.; 2023. Claes, Leander, Lars Meihost, and Benjamin Jurgelucks. <i>Inverse Procedure for the Identification of Piezoelectric Material Parameters Supported by Dense Neural Networks</i>. GAMM Annual Meeting, Dresden, 2023. L. Claes, L. Meihost, and B. Jurgelucks, <i>Inverse procedure for the identification of piezoelectric material parameters supported by dense neural networks</i>. GAMM Annual Meeting, Dresden, 2023. 454552023-06-05T07:24:38Z2026-01-05T07:58:01Z