The sliding window method constructs the input sequence and the target sequence.
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posted on 2025-05-02, 17:38 authored by Tianwen Zhao, Guoqing Chen, Sujitta Suraphee, Tossapol Phoophiwfa, Piyapatr BusababodhinThe sliding window method constructs the input sequence and the target sequence.
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temporal feature extractionsliding window techniqueexperimental results demonstrate3 %, underscoringforecasting agricultural pricesagricultural market decisionmodel uses 65integrated forecasting modeldramatic price movementsxgboost &# 8217model nonlinear relationshipssignificant price fluctuationsxgboost model achievesprice fluctuationsxgboost modelagricultural marketsprice changesnonlinear naturedemand fluctuationsxgboost enhancessuperior performancerobust solutionpolicy changesoften faillinear assumptionshybrid modelsbroader macroeconomybroad applicabilityalso outperforms9 %)29 ).1 %).
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