A novel LLM time series forecasting method based on integer-decimal decomposition
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DOI: 10.1038/s41598-025-06581-x
Abstract: The use of traditional deep learning models for time series forecasting has demonstrated strong performance in specific domains, but their applicability remains limited due to their domain-specific nature, which restricts generalization. Inspired by advancements in… read more here.
Keywords: time; integer decimal; series forecasting; language ... See more keywords