Article

A Time Series Decomposition-Driven Combined Model for Agricultural Price Forecasting

2025-10-27

Abstract excerpt

<title>Abstract</title> <p> Accurate forecasting of agricultural product prices is vital for stabilizing market dynamics and informing effective policy decisions. However, the strong nonlinearity and complexity of influencing factors often limit the performance of traditional models. To address these challenges, this study proposes a hybrid forecasting framework—GRU-IHEOA-N-BEATS-BP—targeted at apple and crucian...

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Literature Corpus work: 3767b90a-1f79-5813-9387-efd8bb1e0e7c
DOI: 10.21203/rs.3.rs-7492291/v1

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