An implementation of a recurrent neural network for 1D acoustic waveform inversion

• Main Authors: P. Pukhamwong, C. Boonyasiriwat
• Other Authors: Mahidol University
• Format: Conference or Workshop Item
• Published: 2022
• Subjects: Physics and Astronomy
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/79025

Recurrent neural network (RNN) is a class of artificial neural networks widely used to model a temporal dynamic system. Recently, recurrent neural networks have been developed for acoustic waveform modelling in 1D and 2D bounded domains. Since the trainable parameters of the networks are the acousti...