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科技导报
|综述文章
2006
, 24
(0612) :
77
-81
人工神经网络在空气污染预报中的研究进展
全屏
白晓平1 ,李红2 ,张启明3 ,FRANCESCA Costabile4 ,方栋3
作者信息
1. 清华大学核能与新能源技术研究院2. 清华大学核能与新能源技术研究院3. 清华大学核能与新能源技术研究院4. 意大利国家研究委员会大气污染研究所
通讯作者:
白晓平
Progress of Research on Artificial Neural Network in Air Pollution Prediction
Affiliations
出版时间: 2006-12-10
文章导航
人工神经网络是20世纪80年代迅速兴起的一门非线性科学,特别适用于对具有多因素性、不确定性、随机性、非线性等特点的对象进行研究,而空气污染预报正是这样的一类问题。简单介绍了人工神经网络的基本概念,详细地回顾了国内外人工神经网络在空气污染预报领域的研究应用情况,最后讨论了人工神经网络在空气污染预报领域中的研究方向和发展趋势。
The artificial neural network, which rapidly sprung up in the 1980s, is a non-linear science. It is especially suitable for the research on the objects with the characteristics of multi-factors, uncertainty, randomness, nonlinearity, and so on. And the air pollution prediction is just this class of problem. The fundamental conception of artificial neural network is briefly described; the research progress of air pollution prediction based on artificial neural network is reviewed in detail. At last, further research directions of artificial neural network in air pollution prediction are provided.
air pollution prediction
/
artificial neural network
/
nonlinearity
白晓平;李红;张启明;FRANCESCA Costabile;方栋.
人工神经网络在空气污染预报中的研究进展.
科技导报,
2006
, 24
(0612)
: 77
-81
.
.
Progress of Research on Artificial Neural Network in Air Pollution Prediction[J].
Science & Technology Review ,
2006
, 24
(0612)
: 77
-81
.
2006年第24卷第0612期
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文章信息
接收时间:2009-08-18
首发时间:2006-12-10
出版时间:2006-12-10
收稿日期:2009-08-18
修回日期:1900-01-01
https://castjournals.cast.org.cn/joweb/kjdb/CN/1242117833379873379
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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