基于灰色遗传算法的LM-BP的河流溶解氧预测

Predicting Dissolved Oxygen in River Based on Grey LM-BP Network of Random Genetic Algorithm

溶解氧(DO)是影响河流生态系统健康非常重要的一项指标,以沦河孝感段实测DO为例,在灰色理论的基础上提出并建立遗传算法(GA)的LM-BP网络河流DO预测模型。对DO的原始数据采用灰色理论进行预测,对其残差采用GA的LM-BP网络进行拟合并测试,结果表明:基于GA的LM-BP网络基本上100%拟合,对最后3个数据进行测试,其误差不超过2.933%,说明可以用该灰色GA的LM-BP模型对本地区的DO进行预测。为河流水质分析提供了新的方法。

Dissolved oxygen （DO） is a very important indicator for river ecosystem health.Taking the DO test in the Xiaogan Reach of the Lunhe River as a case,DO prediction model based on grey LM-BP network of random Genetic Algorithm （GA） was put forward and established.The raw data of DO were predicted based on grey theory,and the residual data were fitted and tested in random GA-LM-BP network.As it turned out,the data rate of accordance is approximately 100％ based on random GA-LM-BP network.Furthermore,the last three months data were tested and the errors were less than 2.933％.Thus,the grey LM-BP network of random GA could be used to predict DO in local area.Therefore,it can provide a new methodology for the analysis of water quality.