An Optimal Method for Supply Chain Logistics Management Based on Neural Network

• DOI: 10.32604/cmc.2022.031514
• Publication Date: 2022-06-16T02:46:49Z
• Authors: Abdallah Abdallah; Mohammed Dauwed; Ayman A. Aly; Bassem F. Felemban; Imran Khan; Bong Jun Choi
• Keywords: Cold chain; Maxima and minima

From raw material storage through final product distribution, a cold supply chain is technique in which all activities are managed by temperature. The expansion the number of imported meat and other comparable commodities, as well exported seafood has boosted performance logistics service providers. On basis standard basic-pursuit (BP) neural network, rough BP particle swarm optimization (PSO) network model constructed combining set algorithms to aid food production enterprises quickly picking best To reduce duplicate information original data make input index more compact, employs set. Instead using gradient descent train weights utilized ensure that output results not readily caught local minima network’s generalization capacity improved. Finally, an example presented demonstrate model’s validity viability. findings reveal prediction error 40.94 percent lower than model, result accurate dependable, providing new for companies swiftly pick provider.