AI RESEARCH
An Objective Performance Evaluation of the LSTM Networks in Time Series Classification
arXiv CS.LG
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ArXi:2605.19311v1 Announce Type: new The rapid adoption of deep learning has increasingly led to data-driven models replacing classical model-based algorithms, even in domains governed by well-understood physical laws. While data-driven models, such as long short-term memory (LSTM) networks, have become a popular choice for time-series analysis, their performance relative to model-based approaches in structured environments is rarely evaluated objectively.