| 基于RBF神经网络的时间序列预测 |
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| 引用本文： | 张玉瑞,陈剑波. 基于RBF神经网络的时间序列预测[J]. 计算机工程与应用, 2005, 41(11): 74-76 |
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| 作者姓名： | 张玉瑞 陈剑波 |
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| 作者单位： | 上海交通大学信息安全学院,上海,200030;上海交通大学信息安全学院,上海,200030 |
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| 摘 要： | 前馈神经网络在时间序列预测中的应用已得到充分地认可,一些模型已经提出,例如多层感知器(MLP),误差反向传播(BP)和径向基函数(RBF)网络等等。相对于其他前馈神经网络,RBF网络学习速度快,函数逼近能力强,因而在时间序列预测方面具有很好的应用前景。
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| 关 键 词： | RBF网络 BP网络 时间序列预测 |
| 文章编号： | 1002-8331-(2005)11-0074-03 |
Time Series Prediction Based on RBF Neural Network |
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| Zhang Yurui,Chen Jianbo. Time Series Prediction Based on RBF Neural Network[J]. Computer Engineering and Applications, 2005, 41(11): 74-76 |
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| Authors: | Zhang Yurui Chen Jianbo |
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| Abstract: | The use of feed forward neural network for time series prediction is fully recognized and a number of models have been developed,for example,Multilayer Perceptron(MLP),Back Propagation(BP)and Radial Basis Function(RBF)network etc.The RBF network has shown a great promise in this sort of problems because of its faster learning capacity and better capability of approximation to underlying functions compared with other feed forward networks. |
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| Keywords: | RBF network BP network time series prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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