基于模糊优选神经网络BP法的低温物流中心设计储藏能力预测

How to Forecast the Reserves of the Low Temperature Logistics Distribution Center Based on Fuzzy Optimized Neural Network BP Approach

在选择影响低温物流中心设计储藏能力的合适因子基础之上,将模糊优选神经网络BP模型应用于第三方低温物流中心的设计储藏能力预测上,结果表明预测值具有较高的可信度。

Fuzzy optimized Neural Network BP Approach is used to forecast the reserves of the low temperature logistics distribution center based on the most important factors that affect the reserves. The result shows that the accuracy of forecasting is up to 97.1%.