智能算法及其在环境预警中的应用

黄佳聪; 高俊峰

引用本文:	黄佳聪，高俊峰.智能算法及其在环境预警中的应用[J].环境监控与预警,2010,2(3):5-8
	HUANG Jia-cong，GAO Jun-feng.Application of Intelligent Algorithm in Environmental Early Forewaring Warning[J].Environmental Monitoring and Forewarning,2010,2(3):5-8

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智能算法及其在环境预警中的应用
黄佳聪，高俊峰^1,2
1.中国科学院南京地理与湖泊研究所，江苏南京 210008;2.中国科学院研究生院，北京 100049

摘要:

智能算法具有学习非线性问题的能力,可有效优化环境模型结构与参数,是环境预警的重要工具。重点分析了遗传算法和人工神经网络的相关特征,并以太湖蓝藻水华预报预警为例,介绍其在提高环境模型精度中的应用。

关键词: 环境预警，智能算法，环境模型，遗传算法，人工神经网络

DOI：

分类号:

基金项目:江苏省科技厅太湖水污染治理科技专项项目(BS2007162)；国家十一五水体污染与控制科技重大专项项目(2008ZX07101-014-01)；国家重点基础研究发展计划(973)资助项目(2008CB418106)；中国科学院重大交叉项目(40730529)

Application of Intelligent Algorithm in Environmental Early Forewaring Warning

HUANG Jia-cong，GAO Jun-feng^1,2

1.Nanjing Institute of Geography and Limnology，Chinese Academy of Sciences，Nangjing，Jiangsu 210008，China;2.Graduate University of the Chinese Academy of Sciences，Beijing 100049， China

Abstract:

Intelligent algorithm performs well in solving nonlinear problems,especially powerfully in model structure and parameters optimization,and thus an important tool in environmental early warning.Mainly analyzed the features of genetic algorithm and artificial neural network.Took cyanobacteria bloom in Taihu Lake as an example,the application of intelligent algorithem was discussed in improving environmental modeling accuracy.

Key words: environmental early warning intelligent algorithm environmental model genetic algorithm artificial neural network