Prediction Discrete Data Used BP Network Based on AGO

Xuejun Gao, Zhenyou Wang
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Abstract

A method for prediction discrete data is presented in this article. In order to forecast the discrete data, the experiment that use the GM (1,1) and BP networks to predict discrete data are respectively executed, we found that AGO operation in the GM method can effectively reduce randomness of the discrete data, so AGO operation is applied into the BP network method. According to the result of the simulation experiment, we have obtained more significantly and effectively results than BP network with no used AGO operation. It is explained that BP network can effectively forecast the discrete data with AGO operation.
基于AGO的BP网络离散数据预测
本文提出了一种预测离散数据的方法。为了预测离散数据,分别进行了GM(1,1)和BP网络预测离散数据的实验,发现GM方法中的AGO操作可以有效地降低离散数据的随机性,因此将AGO操作应用到BP网络方法中。仿真实验结果表明,与不使用AGO操作的BP网络相比,我们得到了更显著、更有效的结果。说明了BP网络可以有效地预测具有AGO操作的离散数据。
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