| 基于RBF神经网络的总产值预测模型研究 |
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| 引用本文： | 张亚平,张立伟.基于RBF神经网络的总产值预测模型研究[J].松辽学刊,2006,27(4):27-28. |
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| 作者姓名： | 张亚平 张立伟 |
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| 作者单位： | [1]黑龙江科技学院数力系,黑龙江哈尔滨150001 [2]哈尔滨工程大学自动化学院,黑龙江哈尔滨150001 |
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| 摘 要： | 介绍了径向基函数（RBF）神经网络的工作原理和训练算法．根据生产总值与投资分配之间存在的映射关系，应用RBF神经网络建立了投资预测模型，并进行了仿真试验．与BP模型相比，该模型在预测精度和收敛速度方面具有显著的优点．结果表明，用RBF神经网络进行投资预测得到了十分满意的结果．
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| 关 键 词： | RBF神经网络 投资预测 总产值 |
| 文章编号： | 1000-1840-（2006）04-0027-02 |
| 收稿时间： | 2006-07-10 |
| 修稿时间： | 2006年7月10日 |
Research on Predicting Model of Gross Production Value Using RBF Neural Network |
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| ZHANG Ya-ping,ZHANG Li-wei.Research on Predicting Model of Gross Production Value Using RBF Neural Network[J].Songliao Journal (Natural Science Edition),2006,27(4):27-28. |
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| Authors: | ZHANG Ya-ping ZHANG Li-wei |
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| Institution: | 1. Department of Mathematics and Mechanics, Heilongjiang Institute of Science and Technology, Harbin 150001, China; 2. School of Automation, Harbin Engineering University, Harbin 150001, China |
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| Abstract: | The work theory and training algorithm of RBF Neural Network were presented in this paper. A predicting model of investment was established on the mapped relationship between gross production value and distribution of investment using RBF neural Network and a simulation was done. Compared with BP model, it had apparent advantages in predicting precision and convergence rate. The predicting result indicated that it was well -content to predict using RBF Neural Network. |
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| Keywords: | RBF neural network investment predicting gross production value |
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