modelos generativos profundos para inteligencia artificial

inteligencia artificial

1. GANs Using Fourier Neural Operators Seismological Laboratory California Institute of Technology

2. Synthetic Data: Poisson 2D Train on 2000 samples

3. Synthetic Data: Poisson 2D Generate 2000 samples

4. Synthetic Data: Poisson 2D Train on 5 Data Points: Mode Collapse

5. Synthetic Data: Poisson 2D Train on 2000 samples

6. Real Data Waveforms Broadband ground motions: Downsample to 20 Hz Cut 50 second long window, 1 sec before P-Wave Normalize to -1,1 Original data 3C Select: 5.5-6.5 Samples: 14 020

7. Waveform Dataset Distance: 0.0 to 180.0 km Magnitude: 4.5 to 7.5 M Vs30: 0.0-1100 m/sec Waveforms: Strong Motion Recording from Japan: K-net and Kik-Net Total: 120,000

8. JS GANO

9. W GANO

10. W GANO

11. Experiment: Input Dim Dims: - 250, 500 , 750, 1000