| 基于神经网络的非等权移动平均预测模型的研究 |
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| 引用本文： | 陶有德,杨宏志,李毓.基于神经网络的非等权移动平均预测模型的研究[J].信阳师范学院学报(自然科学版),1995(3). |
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| 作者姓名： | 陶有德 杨宏志 李毓 |
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| 作者单位： | 信阳师范学院数学系 |
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| 摘 要： | 如何确定权值和变量个数是非等权移动平均预测模型中的两大难题，本文首先介绍神经网络的权重贡献率和关键神经节点的概念，然后给出一种基于神经网络的新的确定权值和变量个数的方法，仿真实验表明，神经网络方法能够较好地解决传统的预测方法所面临的困难，并且具有较高的预测精度。
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| 关 键 词： | 神经网络 非等权移动平均预测模型 权重贡献率 关键神经元 |
Study on the Inequlity Weight Moving Average Forecasting Model with Neural Networks |
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| Tao Youde Yang Hongzhi Li Yu.Study on the Inequlity Weight Moving Average Forecasting Model with Neural Networks[J].Journal of Xinyang Teachers College(Natural Science Edition),1995(3). |
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| Authors: | Tao Youde Yang Hongzhi Li Yu |
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| Abstract: | How to determine the weight value and how to determine the numbers ofvariables are two difficult questions for the inequlity weight moving average forecastingmodel.Based on studied the theory of neuraI networks,the concepts of weight contributionrate and kev neural units are persented in this paper, and a new mothed based on neuralneiworks is given. Finally,a simulating expermentr,which shows that the new mothed cansolve the difficult question better in the tradational mothed,is given. |
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| Keywords: | NeuraI networks Inequlity moving average forecasting model Weightcontrinbution rate Key neural units |
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