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

2024/03/27 by Daniel Klenkert, Klenkert, Daniel, Daniel Schaeffer +3
Computer Science · Economics, Econometrics and Finance · #Time Series Analysis and Forecasting #Anomaly Detection Techniques and Applications #Complex Systems and Time Series Analysis

paper · pdf · doi:10.48550/arxiv.2403.18687

Abstract

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 %.

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