Earthquake Signal Detection
Harvard EPS55
Neural Network Analysis of Seismic Data
Waiting for signal...
S1
S2
S3
S4
Input Layer
(Seismic Features)
H1
H2
H3
H4
H5
Hidden Layer 1
P
S
Output Layer
(P-wave / S-wave)
How it Works
This neural network processes seismic waveform data to detect earthquake signals:
- Input Layer: Receives features extracted from seismic data (amplitude, frequency, duration, etc.)
- Hidden Layers: Process and learn complex patterns in the seismic signals
- Output Layer: Classifies P-waves (primary) and S-waves (secondary) characteristic of earthquakes
The network is trained on thousands of labeled seismic recordings to distinguish between normal ground noise and actual earthquake events.