X-H-Yang
2022 - present, Lecturer, Chengdu University of Information Technology 2021 - 2022, Postdoctoral Fellow, Southern University of Science and Technology
Pinned Repositories
Comprehensive-comparison-Rayleigh-wave-inversion-algorithms
A comprehensive comparison of Rayleigh wave inversion performance is conducted among two bionic algorithms, two probabilistic algorithms, a gradient-based algorithm, and two neural network algorithms
links
Links for Geophysics & Seismology research
Multi-thin-layered-broad-learning-Rayleigh-wave-inversion
Two stage Rayleigh wave dispersion curve inversion based on an inversion manner of multi-thin-layer and only the S-wave velocities to be inverted.
Sample-selection-Rayleigh-wave-neural-network-inversion
Sample selection method for Rayleigh wave dispersion curve inversion using neural networks - 1D S-wave velocity profile retrieval
X-H-Yang's Repositories
X-H-Yang/Comprehensive-comparison-Rayleigh-wave-inversion-algorithms
A comprehensive comparison of Rayleigh wave inversion performance is conducted among two bionic algorithms, two probabilistic algorithms, a gradient-based algorithm, and two neural network algorithms
X-H-Yang/Sample-selection-Rayleigh-wave-neural-network-inversion
Sample selection method for Rayleigh wave dispersion curve inversion using neural networks - 1D S-wave velocity profile retrieval
X-H-Yang/links
Links for Geophysics & Seismology research
X-H-Yang/Multi-thin-layered-broad-learning-Rayleigh-wave-inversion
Two stage Rayleigh wave dispersion curve inversion based on an inversion manner of multi-thin-layer and only the S-wave velocities to be inverted.