Deep neural networks as a method to solve estimation problem of acoustic wave propagation in poroelastic media, impartido por Zhandos Zhanabekov, International Information Technology University (Almaty, Kazajistán)
Deep neural networks as a method to solve estimation problem of acoustic wave propagation in poroelastic media, impartido por Zhandos Zhanabekov, International Information Technology University (Almaty, Kazajistán)
Deep neural networks as a method to solve estimation problem of acoustic wave propagation in poroelastic media, impartido por Zhandos Zhanabekov, International Information Technology University (Almaty, Kazajistán)
Data: 7 de xuño de 2022
Hora: 11:00 h.
Lugar: Aula 8 de la Facultade de Matemáticas da USC e online MS Teams a través do enlace Teams meeting
Duración: 30 min
Abstract:
The presentation concerns the inverse problem of the acoustic wave propagation in the 3 layered half-space. The first and third layers are assumed to be solid, whereas the second is assumed to be poro-elasitc. The model in presentation considers results of finding acoustic wave propagation with regard to its depth and time (further called solution to the forward problem) and proposes methods to estimate the initial physical properties of aforementioned three layers. The aim of this model is to create a neural network that estimates said properties.
Actividade co-financiada coa colaboración da Consellería de Cultura, Educación, Formación Profesional e Universidades