摘要
本文综述了目前水资源承载预测和雾霾天气预测的若干种常用方法,传统方法如回归分析,灰色预测,新型智能算法如神经网络、系统动力学法。通过对比这些分析方法的在实际应用中的效果,来评述现有环境预测方法的优势与不足。传统方法,操作简单易于实现,但精度较差;新型算法可做精确预测,但较难实现且预测范围窄。最后,展望环境预测方法发展趋势。
This paper reviews several common methods for water resource bearing prediction and haze weather prediction. Traditional methods include regression analysis, grey prediction, and new intelligent algorithms include neural network and system dynamics. By comparing the effects of these analytical methods in practical applications, the advantages and disadvantages of existing environmental prediction methods are reviewed. The traditional methods are simple and easy to implement, but poor in accuracy. The new algorithms can make accurate predictions, but it is difficult to implement and the prediction range is narrow. Finally, the development trend of environmental forecasting methods are prospected.
作者
梁一鸣
LIANG Yi-ming(School of Natural and Applied Sciences,Northwestern Polytechnical University,Xi'an 710129,China)
出处
《价值工程》
2019年第23期245-246,共2页
Value Engineering
关键词
预测
精度
应用
评述
prediction
accuracy
application
commentary
