| 自组织理论和BP人工神经网络在税收预测中的应用研究 |
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| 引用本文： | 叶林. 自组织理论和BP人工神经网络在税收预测中的应用研究[J]. 数学的实践与认识, 2006, 36(7): 251-255 |
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| 作者姓名： | 叶林 |
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| 作者单位： | 西安交通大学管理学院,陕西,西安,710049 |
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| 摘 要： | 针对BP人工神经网络的结构特性,提出了将自组织理论与BP人工神经网络相结合的思想,不仅解决了输入待定的神经网络输入维数难确定的问题,而且加快了神经网络的收敛速度,增强了神经网络的适应能力.并将新建立的模型应用到税收预测中,得出了比常规经济学模型更优的效果.
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| 关 键 词： | 自组织理论 BP人工神经网络 税收预测 |
| 修稿时间： | 2006-01-05 |
Application Research on Tax Forecasting Based on GMDH and BP Artificial Neural Network Theory |
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| YE Lin. Application Research on Tax Forecasting Based on GMDH and BP Artificial Neural Network Theory[J]. Mathematics in Practice and Theory, 2006, 36(7): 251-255 |
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| Authors: | YE Lin |
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| Abstract: | In this paper,aiming at the characteristics of BP neural network structure,a method of connecting GMDH and BP neural network is presented.It can make the selection of input-lay units easily,and improve the adaptability and convergence rate of neural network.Then we apply it to tax forecasting,our conclusion shows that this method is superior to the statistical modeling approach. |
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| Keywords: | GMDH artificial neural network tax forecasting |
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