摘要
恩施州是"中国第一高硒区",为了分析该地区土壤中总硒和水溶性硒间的关系,建立了以总硒含量为自变量,水溶性硒含量为因变量的一元线性模型和拓朴结构为1-3-1的二层BP神经网络模型,经检验全部调查数据、高硒中毒区数据、高硒非中毒区数据模型均显著,可用;按复相关系的大小两种类型的模型均为高硒非中毒区>全部>高硒中毒区,而高硒非中毒区的BP神经网络模型复相关系数高达0.864 0.
Enshi prefecture is "No. 1 high - selenium area in China". To analyze the relationship between total selenium and water - soluble selemium in the soil of this area, this paper establishes the simple linear model with the total selenium content as independent variable and the water - soluble selenium content as dependent variable ,and the two -layer BP neural network model with the topological structure as 1 -3 - 1. The model of the entire survey data, data of high - selenium poisoning area and data of high - selenium non - poisoning area are all significant and available after verification. According to the size of the multi- ple correlation coefficient, the two types of models are high - selenium non - poisoning area 〉 entire survey data 〉 high - selenium poisoning area while the multiple correlation coefficient of BP neural network model in high - selenium non - poisoning area amounts to 0. 864 0.
出处
《湖北民族学院学报(自然科学版)》
CAS
2008年第3期287-290,共4页
Journal of Hubei Minzu University(Natural Science Edition)
基金
湖北省教育厅科学技术研究重点项目(D200629006)
关键词
土壤
总硒
水溶性硒
soil
total selenium
water - soluble selenium