[1]李文华.定量预测方法有效性指标分析[J].郑州大学学报(工学版),1998,19(03):83-86.
　Li Wenhua.Quantitative prediction method Effective indicator analysis[J].Journal of Zhengzhou University (Engineering Science),1998,19(03):83-86.
点击复制

定量预测方法有效性指标分析()
分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
19
期数:
1998年03期
页码:
83-86
栏目:
出版日期:
1998-12-01

文章信息/Info

Title:
Quantitative prediction method Effective indicator analysis
作者:
李文华
郑州工业大学数力系
Author(s):
Li Wenhua
Zhengzhou University of Technology Digital Department
关键词:
预测; 精度; 有效度
Keywords:
Forecast;  precision;  validity
文献标志码:
A
摘要:
定义了连续情形的预测精度公式，在此基础上给出了１套衡量定量预测方法有效性指标的一般定义，并讨论了几类有效度之间的关系，同时给出了估计拟合有效度、预测有效度的具体方法。从而给预测工作者选择有效的预测方法提供了可靠的理论基础，减少预测工作的盲目性和预测费用。
Abstract:
The prediction accuracy formula for continuous situations is defined, and on this basis, a general definition of the effective indicator of the effective indicator of the quantitative prediction method is given, and the relationship between several types of effectiveness is discussed. At the same time, it gives specific methods for estimating the effectiveness of the fitting and the effectiveness of the prediction. Therefore, it provides a reliable theoretical basis for predictors to choose effective prediction methods, and reduce the blindness and prediction costs of prediction work.

相似文献/References:

[1]张炎亮刘阳王金凤.基于改进SVM的煤矿水灾害救援组织系统可靠性预测[J].郑州大学学报(工学版),2015,36(03):115.[doi:10.3969/ j.issn.1671 - 6833.2015.03.025]
　ZHANG Yan-liang,LIU Yang,WANG Jin-feng.Reliability Prediction of Coal Mine Water Disasters EmergencyRescue System Based on Improved SVM[J].Journal of Zhengzhou University (Engineering Science),2015,36(03):115.[doi:10.3969/ j.issn.1671 - 6833.2015.03.025]
[2]张涛,乐金朝,张俊然.压实度和干湿循环对豫东粉土土-水特征曲线的影响[J].郑州大学学报(工学版),2016,37(06):53.[doi:10.13705/j.issn.1671-6833.2016.03.027]
　Zhang Tao,Le Jinchao,Zhang Junran.Influence and prediction of compaction degree and drying-wetting cycle on soil water characteristic curve of Yudong silt[J].Journal of Zhengzhou University (Engineering Science),2016,37(03):53.[doi:10.13705/j.issn.1671-6833.2016.03.027]
[3]蔡婉贞,黄 翰.基于 BP-RBF神经网络的组合模型预测港口物流需求研究[J].郑州大学学报(工学版),2019,40(05):84.[doi:10.13705/j.issn.1671-6833.2019.02.025]
　Cai Wanzhen,Huang Han.Research on Port Logistics Demand Forecasting Based on Combination Model of BP-RBF Neural Network[J].Journal of Zhengzhou University (Engineering Science),2019,40(03):84.[doi:10.13705/j.issn.1671-6833.2019.02.025]
[4]贾茹宾,高金峰.基于ARIMA模型的变压器油中溶解气体含量时间序列预测方法[J].郑州大学学报(工学版),2020,41(02):67.[doi:10.13705/j.issn.1671-6833.2020.03.010]
　Jia Rubin,Gao Jinfeng.Time Series Prediction Method of Dissolved Gas Content in Transformer Oilased on ARIMA Model[J].Journal of Zhengzhou University (Engineering Science),2020,41(03):67.[doi:10.13705/j.issn.1671-6833.2020.03.010]
[5]任万强,胡启宙,王合桢.电力有源滤波器控制器的研究与仿真分析[J].郑州大学学报(工学版),1998,19(04):76.
　Ren Wanqiang,Hu Qiu,Wang Hezheng.Research and simulation analysis of the power of the power controller controller[J].Journal of Zhengzhou University (Engineering Science),1998,19(03):76.
[6]闫锐,徐光先,张占科.灰色系统模型在大型水库经济分析中的应用[J].郑州大学学报(工学版),1995,16(04):89.
　Yan Rui,Xu Guangxian,Zhang Zhanke.The application of the gray system model in the economic analysis of large reservoirs[J].Journal of Zhengzhou University (Engineering Science),1995,16(03):89.
[7]李杰.震害预测仿真系统研究(三)——仿真优化方法[J].郑州大学学报(工学版),1992,13(02):34.
　Li Jie,Research on the Simulation System of Earthquake Dynamics (III) -It simulation optimization method[J].Journal of Zhengzhou University (Engineering Science),1992,13(03):34.
[8]陈丰,曾凡才.“简易空间机器人”机械结构设计[J].郑州大学学报(工学版),1989,10(03):70.
　[J].Journal of Zhengzhou University (Engineering Science),1989,10(03):70.

更新日期/Last Update: 1900-01-01