Comparative results of by different decomposition methods for wheat prices.

Comparative results of by different decomposition methods for wheat prices.

<p>Comparative results of by different decomposition methods for wheat prices.</p>

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
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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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