...
首页> 外文期刊>International journal of remote sensing >Forecasting daily total ozone concentration-a comparison between neurocomputing and statistical approaches
【24h】

Forecasting daily total ozone concentration-a comparison between neurocomputing and statistical approaches

机译:预测每日总臭氧浓度-神经计算和统计方法之间的比较

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The present paper develops three predictive models for daily total ozone concentration over Arosa, Switzerland. The models are artificial neural network, multiple linear regression, and persistence forecast. Each model was judged for their predictive abil
机译:本文针对瑞士阿罗萨的每日总臭氧浓度建立了三种预测模型。这些模型是人工神经网络,多元线性回归和持续性预测。每个模型的预测能力都得到了评估

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号