| 基于RBFNN的数据通信业务收入发展预测 |
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| 引用本文： | 夏太武,彭京华.基于RBFNN的数据通信业务收入发展预测[J].邵阳学院学报(自然科学版),2007,4(3):3-7. |
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| 作者姓名： | 夏太武 彭京华 |
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| 作者单位： | 1. 邵阳学院,信息与电气工程系,湖南,邵阳,422000
2. 长沙高新区湘华科技信息公司,湖南,长沙,4100011 |
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| 摘 要： | 数据通信业务收入发展状况受多种不确定因素影响，其预测过程是一个复杂的非线性问题，采用传统预测方法难以逼近复杂的非线性映射关系，其预测误差大．为此根据神经网络的非线性特性，提出一种基于RBF神经网络的数据通信业务发展预测模型，对2006—2011年数据通信业务收入发展进行预测，与BP网络训练结果比较，其收敛速度快，训练精度高，具有较强的鲁棒性和容错性，应用效果显著．
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| 关 键 词： | RBF神经网络 数据通信业务收入 预测 |
| 文章编号： | 1672-7010（2007）03-0003-05 |
| 修稿时间： | 2007-03-02 |
Data communication service income development forecast based on RBF neural network |
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| XIA Tai-wu,PENG Jing-hua.Data communication service income development forecast based on RBF neural network[J].Journal of Shaoyang University:Science and Technology,2007,4(3):3-7. |
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| Authors: | XIA Tai-wu PENG Jing-hua |
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| Institution: | 1. Department of Information and Electrical Engineering, Shaoyang University, Shaoyang, Hunan 422400;2.Xianghua Scientific and Technological Information Ltd. of Changsha Hi-Tech Zone, Changsha, Hunan 410001 |
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| Abstract: | Data communication service income is influenced by many uncertain factors, its forcast process is a complex nonlinear problem, it is difficult to approach complex nonlinear mapping relation by traditional forcast method, and the forcast error is great. Therefore, according to nonlinear characteristic of neural network, a forecast model of data communication service income development based on RBF Neural Network is presented. It is applied in data communication service income forecast of 2006-2011, the result shows that it has faster convergence rate, higher training precision, stronger robustness, fault tolerance and more notable application effect than BP network. |
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| Keywords: | RBF neural network data communication service income forecast |
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