| 粗糙集-神经网络在大气污染判别分析中的应用 |
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| 引用本文： | 仝凌云,潘佳,刁鑫.粗糙集-神经网络在大气污染判别分析中的应用[J].科学技术与工程,2007,7(17):4545-4547. |
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| 作者姓名： | 仝凌云 潘佳 刁鑫 |
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| 作者单位： | 河北工业大学,管理学院,天津,300401 |
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| 摘 要： | 针对大气污染判别问题的复杂性,提出了一种基于粗糙集的BP神经网络模型。该模型利用粗糙集理论约简气象影响因素,提取关键因素作为网络的输入,简化了网络结构。实例验证,粗糙神经网络模型为大气污染判别研究提供了一种有效可行的算法。
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| 关 键 词： | 大气污染 属性约简 BP神经网络 |
| 文章编号： | 1671-1819(2007)17-4545-03 |
| 修稿时间： | 2007-05-09 |
Application of Rough Neural Network in Discrimination of Air Pollution |
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| TONG Ling-yun,PAN Ji,DIO Xin.Application of Rough Neural Network in Discrimination of Air Pollution[J].Science Technology and Engineering,2007,7(17):4545-4547. |
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| Authors: | TONG Ling-yun PAN Ji DIO Xin |
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| Institution: | College of Management, Hebei University of Technology, Tianjin 300401, P. R. China |
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| Abstract: | For a complicated discrimination of air pollution, a new model of BP Networks is proposed based on Rough Set. This model was applied to. reduce factors of weather, withdraw essential ingredient as the input of the network, and simplify network structure. The application example showed that the rough neural network is an efficient and feasible algorithm to discrimination of air pollution. |
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| Keywords: | air pollution factor reduce BP neural network |
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