摘要
依据大气环境质量标准等级随机生成一系列实验数据,基于修正Logistic模型和RBF网络组合模型,运用有效度的方法确定组合模型的权重。选用大气环境质量指标实测数据进行评价并与其他模型相比较。结果表明：组合模型比单一模型的精确性和稳健性更高,提高了大气环境质量评价结果的精度;评价结果为连续的实数值,解决了常规大气质量评价结果不相容的问题。该方法可行、有效且通用,是对目前大气环境质量评价方法的有效补充。
According to the standard of atmospheric environmental quality standard, a series of experimental data are randomly generated. Based on the modified Logistic model and RBF network combination model, the weight of the combined model is determined by the method of validity. The atmospheric environmental quality indicators were used to evaluate the data and compared with other models. The results show that the combined model is more accurate and robust than the single model, and the accuracy of the atmospheric environmental quality evaluation results is improved. The result of the evaluation is continuous real value, which solves the incompatible problem in the evaluation of the air quality. The method is feasible, effective and universal, and is an effective complementation to the current assessment of atmospheric environmental quality.
作者
曹俊文
张星灿
CAO Junwen;ZHANG Xingcan(School of Statistics, Jiangxi University of Finance and Economics, Nanchang Jiangxi 330013, China;Research Center of Applied Statistics, Jiangxi University of Finance and Economics, Nanchang Jiangxi 330013, China)
出处
《生态经济》
北大核心
2018年第5期179-182,共4页
Ecological Economy
