No AccessDeep Multilayer Convolution Frameworks for Data-Driven Learning of Fluid flow DynamicsShivakanth Chary Puligilla and Balaji JayaramanShivakanth Chary PuligillaOklahoma State UniversitySearch for more papers by this author and Balaji JayaramanOklahoma State UniversitySearch for more papers by this authorAIAA 2018-3091Session: Reduced-Order and Data-Driven Modeling for Flow ControlPublished Online:24 Jun 2018https://doi.org/10.2514/6.2018-3091SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookXLinked InRedditEmail About Previous chapter Next chapter FiguresReferencesRelatedDetailsSee PDF for referencesCited byComparison of Data-Driven Approaches to Rotorcraft Store Separation ModelingNicholas Peters, Andrew Wissink and John Ekaterinaris3 September 2023 | Journal of Aircraft, Vol. 61, No. 1A Data-Driven Modeling Approach for Rotorcraft Store SeparationNicholas Peters, John A. Ekaterinaris and Andrew M. Wissink19 January 2023Assessment of end-to-end and sequential data-driven learning for non-intrusive modeling of fluid flows16 June 2020 | Advances in Computational Mathematics, Vol. 46, No. 4Related articlesCorrection: Deep Multilayer Convolution Frameworks for Data-Driven Learning of Fluid flow Dynamics16 Jul 2018AIAA AVIATION Forum What's Popular 2018 Fluid Dynamics Conference June 25-29, 2018Atlanta, Georgiahttps://doi.org/10.2514/6.2018-3091 CrossmarkInformationCopyright © 2018 by Shivakanth chary Puligilla and Balaji Jayaraman. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. TopicsAlgorithms and Data StructuresArtificial IntelligenceArtificial Neural NetworkComputing and InformaticsComputing SystemComputing, Information, and CommunicationData ScienceEvolutionary AlgorithmGenetic AlgorithmMachine LearningOptimization Algorithm KeywordsFluid FlowArtificial Neural NetworkGenetic AlgorithmNonlinear DynamicsMachine LearningModel Order ReductionComputing PowerConjugate Gradient AlgorithmGradient Free OptimizationEvolutionary AlgorithmDigital Topics Fluid Dynamics