Paper ID: 2403.18687

InceptionTime vs. Wavelet -- A comparison for time series classification

Daniel Klenkert, Daniel Schaeffer, Julian Stauch

Neural networks were used to classify infrasound data. Two different approaches were compared. One based on the direct classification of time series data, using a custom implementation of the InceptionTime network. For the other approach, we generated 2D images of the wavelet transformation of the signals, which were subsequently classified using a ResNet implementation. Choosing appropriate hyperparameter settings, both achieve a classification accuracy of above 90 %, with the direct approach reaching 95.2 %.

Submitted: Mar 27, 2024