DATA-DRIVEN SOLUTIONS AND PARAMETER ESTIMATIONS OF A FAMILY OF HIGHER-ORDER KDV EQUATIONS BASED ON PHYSICS INFORMED NEURAL NETWORKS

Data-driven solutions and parameter estimations of a family of higher-order KdV equations based on physics informed neural networks

Abstract Physics informed neural network (PINN) demonstrates powerful capabilities in solving forward and inverse problems of nonlinear partial differential equations (NLPDEs) through combining data-driven and physical constraints.In this paper, two 6 Piece Queen Bedroom PINN methods that adopt tanh and sine as activation functions, respectively, a

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Comparative effectiveness and costs of generic and brand-name gabapentin and venlafaxine in patients with neuropathic pain or generalized anxiety disorder in Spain

Antoni Sicras-Mainar,1 Javier Rejas-Gutiérrez,2 Ruth Navarro-Artieda3 1Planning Directorate, Badalona Serveis Assistencials SA, Badalona, Barcelona, Spain; 2Department of Health Economics and Outcomes Research, copyright SLU, Alcobendas, Madrid, Spain; 3Medical Documentation, Hospital Germans Trias i Pujol, Badalona, Barcelona, Spain Objecti

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