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Forecasting Regional Logistics Demand of Agricultural Products Logistics Park in YuHang County Based on Artificial neural network

机译:基于人工神经网络的于杭县农产品物流园区区域物流需求预测。

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The paper uses both the demand of agricultural products and other influential variables to forecast Regional Logistics Demand of agricultural products. The paper examines that considering numerous related variables makes the forecast more accurate. To find out the nonlinear relationship between them, this article applies Artificial Neural Network (ANN) to forecast agricultural products Logistics Park deman. For this purpose it builds a forecasting model of regional economy, agricultural products demand and agricultural products logistics demand based on ANN. In addition, the paper uses the model to forecast agricultural products logistics park demand in YuHang County. The forecast result contributes to developing and designing agricultural products Logistics Park in YuHang County.
机译:本文使用农产品需求和其他影响变量来预测农产品的区域物流需求。本文考察了考虑大量相关变量可以使预测更加准确的过程。为了找出它们之间的非线性关系,本文应用人工神经网络(ANN)来预测农产品物流园区的需求。为此,建立了基于人工神经网络的区域经济,农产品需求和农产品物流需求预测模型。此外,本文还使用该模型对余杭县农产品物流园区需求进行了预测。预测结果有助于玉杭县农产品物流园区的开发设计。

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