A deep neural network framework for real-time on-site estimation of acceleration response spectra of seismic ground motions

Mathematics

• Alternatives 8%
• Damage 16%
• Data-driven 16%
• Demonstrate 8%
• Early Warning 100%
• Earthquake 93%
• Empirical Model 20%
• Estimate 13%
• Fault 16%
• Framework 40%
• Hazard 16%
• Knowledge 10%
• Learning 12%
• Methodology 10%
• Model 4%
• Motion 51%
• Multiple Tests 20%
• Neural Networks 67%
• Physics 11%
• Prediction 11%
• Real-time 80%
• Resources 13%
• Risk Management 19%
• Rupture 19%
• Seismic Response 26%
• Statistical test 15%
• Trigger 19%
• Waveform 17%

Engineering & Materials Science

• Deep learning 12%
• Deep neural networks 69%
• Earthquakes 61%
• Hazards 12%
• Physics 12%
• Risk management 15%
• Seismic response 15%
• Statistical tests 16%