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Application of BP neural network to sale forecast for H company

机译:BP神经网络在H公司销售预测中的应用

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摘要

The aim of the work presented in this article is to make sales forecasting as accurate as possible through the use of BP artificial neural network. Firstly, this article introduces the basic principles of BP artificial neural network, and constructs a sales forecasting model based on the theory of BP artificial neural network. Then, with the help of MATLAB, we obtained the predicted sales data using this model, and compared it with the actual sales data, the results showed a highly degree of consistency. BP neural network is a precise program can get satisfactory results in sales forecasting.
机译:本文中介绍的工作的目的是通过使用BP人工神经网络使销售预测尽可能准确。首先,本文介绍了BP人工神经网络的基本原理,并基于BP人工神经网络的理论构建了销售预测模型。然后,在MATLAB的帮助下,我们使用该模型获得了预测的销售数据,并将其与实际的销售数据进行了比较,结果显示出高度的一致性。 BP神经网络是一个精确的程序,可以在销售预测中获得满意的结果。

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