Research on demand forecasting of cold chain logistics of fresh agricultural products based on ISSA-BP neural network

Yuting Ouyang

doi:10.1117/12.3050775

20 January 2025 Research on demand forecasting of cold chain logistics of fresh agricultural products based on ISSA-BP neural network

Yuting Ouyang

Author Affiliations +

Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 134220R (2025) https://doi.org/10.1117/12.3050775
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China

Abstract

Cold-chain logistics (CCL) is a vital pathway to guarantee the modern circulation and advance of fresh agricultural products. Reasonable prediction of the demand of cold-chain logistics of fresh agricultural products (CCLFAP) is a vital safeguard to ensure the stability of CCL. For purpose of predicting the the demand of CCLFAP more accurately, this paper proposed an Improved sparrow search algorithm (ISSA) to ameliorate BP neural network (BPNN) model. Sin chaotic mapping, dynamic adaptive weights and reverse learning strategies are introduced to improve the quality of the initial population of the sparrow search algorithm, update the discoverer and the location of the optimal solution, avert the algorithm sinking into the local optimal solution, and search the optimal solution more effectively in the global scope. Improved sparrow search algorithm was used to optimize the initial weight threshold of BPNN model to reduce the risk of overfitting. The experimental consequence indicate that the ISSA-BPNN model is superior to the other two models in the aspect of convergence rate, optimization ability and prediction accuracy, thus can provide reliable prediction value for the demand of CCLFAP.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuting Ouyang "Research on demand forecasting of cold chain logistics of fresh agricultural products based on ISSA-BP neural network", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 134220R (20 January 2025); https://doi.org/10.1117/12.3050775

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KEYWORDS

Data modeling

Agriculture

Performance modeling

Education and training

Mathematical optimization

Neural networks

Artificial neural networks

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