| 基于神经网络中小城市空气污染指数预估器的设计 |
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| 引用本文： | 吴小红,康海燕,任德官.基于神经网络中小城市空气污染指数预估器的设计[J].数学的实践与认识,2005,35(2):87-91. |
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| 作者姓名： | 吴小红 康海燕 任德官 |
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| 作者单位： | 1. 浙江师范大学智能计算与并行计算研究所,浙江,金华,321004
2. 宁波城市职业技术学院,浙江,宁波,315502 |
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| 摘 要： | 针对大气环境参数预测精确性和可靠性的要求提出一种基于 BP神经网络快速收敛算法 ,经仿真表明提出的这一算法切实可行 .
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| 关 键 词： | 人工神经网络 自适应学习 空气污染指数 |
| 修稿时间： | 2003年6月7日 |
Forecast of Air Pollution Index in One City Based on the Artificial Neural Net |
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| WU Xiao-hong,KANG Hai-yan,REN De-guan.Forecast of Air Pollution Index in One City Based on the Artificial Neural Net[J].Mathematics in Practice and Theory,2005,35(2):87-91. |
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| Authors: | WU Xiao-hong KANG Hai-yan REN De-guan |
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| Institution: | WU Xiao-hong1,KANG Hai-yan2,REN De-guan1 |
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| Abstract: | The paper is aimed at atmospheric circulation parameter calculation exact quality and the dependability demand and proposes kind based on BP's fast convergence algorithm of artificial neural net, Make known after imitation that this algorithm that writer propose is practicable. |
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| Keywords: | the artificial neural net self -adaptive study air pollution index |
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