Flowchart of the SVMD-CNN-BiLSTM-A model.

<div><p>The volatility of agricultural commodity prices significantly affects market stability and financial market dynamics, especially during periods of economic uncertainty and global shocks. Accurate price prediction, however, remains challenging due to the complex, nonlinear charact...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Kaixuan Sun (4739976) (author)
مؤلفون آخرون:	Qi Yao (555617) (author), Yanhui Li (431807) (author)
منشور في:	2025
الموضوعات:	Sociology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified using historical data swarm intelligence optimization remains challenging due raw price data intricate data relationships financial market dynamics experimental findings demonstrate deep learning techniques accurate price prediction ></ sub >) >< sub >< 57 %, respectively underlying nonlinear patterns div >< p augmented bilstm model nonlinear characteristics model ’ wheat markets temporal dependencies study introduces study develops local exploration influencing factors global shocks global search effectively capturing economic uncertainty dynamic features diverse range convergence efficiency case studies attention mechanism agricultural markets
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Flowchart of the SVMD-CNN-BiLSTM-A model.

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