专利检索 ap:("Xi'an University of Architecture AND Technology") AND inv:"Yanan LI" 第 1 页

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发明公开
METHOD AND SYSTEM FOR FORECASTING AGRICULTURAL PRODUCT PRICE BASED ON SIGNAL DECOMPOSITION AND DEEP LEARNING 审中-公开

公开(公告)号：US20240070690A1

公开(公告)日：2024-02-29

申请号：US17971917

申请日：2022-10-24

申请人： Xi'an University of Architecture and Technology

发明人： Xinsheng ZHANG , Runzhou WANG , Chang YANG , Yiwei HAN , Chunyang WU , Yanan LI

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0202 , G06Q50/02

摘要： Disclosed are a method and a system for forecasting an agricultural product price based on signal decomposition and deep learning. The method includes: S1, obtaining price subsequences by performing a complementary ensemble empirical mode decomposition (CEEMD) on an original price sequence of agricultural products; S2, obtaining a reconstructed sequence based on the price subsequences; S3, obtaining data features of the reconstructed sequence based on the reconstructed sequence; and S4, constructing a Bi-directional Sequence to Sequence (BiSeq2seq) model, and inputting the data features of the reconstructed sequence into a CCS-Bi-directional Sequence to Sequence (CCS-BiSeq2seq) model to obtain a forecasting result.