| 改进的BP神经网络在专利申请量增长率预测中的应用 |
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| 引用本文： | 周瑞芳,禹建丽. 改进的BP神经网络在专利申请量增长率预测中的应用[J]. 中原工学院学报, 2005, 16(6): 9-11,34 |
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| 作者姓名： | 周瑞芳 禹建丽 |
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| 作者单位： | 中原工学院,河南,郑州,450007 |
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| 基金项目： | 河南省教育厅自然科学基金 |
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| 摘 要： | 专利申请量的增长率受多个因素的影响,呈现高度的非线性.采用改进的BP神经网络对专利申请量年增长率进行预测.分别用一维和多维时间序列进行分析预测,结果表明一维时间序列分析泛化能力强,多维时间序列分析预测精度较高.
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| 关 键 词： | 专利申请量年平均增长率 时间序列预测 神经网络 |
| 文章编号： | 1671-6906（2005）06-0009-04 |
| 收稿时间： | 2005-10-05 |
| 修稿时间： | 2005-10-05 |
The Application of Improved BP Neural Network in the Prediction Of the Increasing Rate of Patents Received Time Serial |
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| ZHOU Rui-fang,YU Jian-li. The Application of Improved BP Neural Network in the Prediction Of the Increasing Rate of Patents Received Time Serial[J]. Journal of Zhongyuan Institute of Technology, 2005, 16(6): 9-11,34 |
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| Authors: | ZHOU Rui-fang YU Jian-li |
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| Affiliation: | Zhongyuan Institute of Technology, Zhengzhou 450007, China |
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| Abstract: | The increasing rate of patents received is affected by several factors,and to be high nonlinear.We use improved BP neural network to predict the increasing rate of patents received time serial.Comparing one dimension and multidimension,we get the result: The analysis of time serial of one dimension has power ability of generalization,and,the analysis of time serial of multidimension is proved to be more accurate and precise. |
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| Keywords: | increasing rate of patents received prediction of time serial neural network |
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