PDCG-Enhanced CNN for Pattern Recognition in Time Series Data

PDCG-Enhanced CNN for Pattern Recognition in Time Series Data

This study compares the effectiveness of three methods—Fréchet Distance, Dynamic Time Warping (DTW), and Convolutional Neural Networks (CNNs)—in detecting similarities and pattern recognition in time series. It proposes a Pattern-Driven Case Generator (PDCG) framework to automate the creation of lab...

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Bibliographic Details
Main Authors: Feng Xie, Ming Xie, Cheng Wang, Dongwei Li, Xuan Zhang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Biomimetics
Subjects:
similarity analysis
patterns identification
Fréchet distance
dynamic time warping
convolutional neural networks
pattern-driven case generators
Online Access:https://www.mdpi.com/2313-7673/10/5/263
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