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The Research on Combination Forecast Method of Order Quantity Based on Grey Neural Network

机译:基于灰色神经网络的订单数量组合预测方法研究

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摘要

The order quantity forecasting in modern enterprise management occupies an important position, order quantity is influenced by many uncertain factors. This paper put forward a prediction method to predict the order quantity based on the combination of grey forecast and artificial neural network, the combination forecasting method can make full use of each single forecasting model, can better improve the prediction accuracy. The method is based on grey prediction model, using the advantages simple algorithm less data and BP neural network to nonlinear system prediction performance advantages, the use of BP nonlinear mapping of neural network combination forecast.
机译:现代企业管理中的订单数量预测占据重要地位,订单数量受到许多不确定因素的影响。本文提出了一种预测方法来基于灰色预测和人工神经网络的组合来预测订单量,组合预测方法可以充分利用每个单一的预测模型,可以更好地提高预测精度。该方法基于灰度预测模型,利用简单算法较少的数据和BP神经网络到非线性系统预测性能优势,使用BP非线性映射神经网络组合预测。

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