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回归集成
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  “回归集成”译为未确定词的双语例句
     Shenyang precipitation probability forecasting service system could provide with precipitation probability prediction,based on REEP method and MOS forecasting equations from Japanese numerical weather prediction production and multiple statistical methods.
     沈阳市降水概率预报服务系统是在日本数值预报的基础上应用多种统计方法建立MOS预报方程,对其预报结果应用概率回归集成制作降水概率预报。
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     Integration of Matlab and Access for Developing Online Regression of Technical Parameters
     Matlab与Access集成回归化工生产工艺参数
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     LS-Ensem:A Ensemble Method for Regression
     LS-Ensem:一种用于回归集成算法
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     Logarithmic Amplifiers and Their Integration
     集成对数放大器
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     Integrated Learning
     集成学习
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     Return of Virtue
     美德的回归
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As a continuation of paper [1], this paper presents an optimal predicting equation which is derived from several stepwise repression equations. These equation, with rank sums as their factors, are established at different confidence level. As compared with paper[1], this predicting equation possesses a higher precision and reliability in prediction, for it composes more informations arising from selected factors. It is better than the common composite optimal equation of stepwise regression and the single stepwise...

As a continuation of paper [1], this paper presents an optimal predicting equation which is derived from several stepwise repression equations. These equation, with rank sums as their factors, are established at different confidence level. As compared with paper[1], this predicting equation possesses a higher precision and reliability in prediction, for it composes more informations arising from selected factors. It is better than the common composite optimal equation of stepwise regression and the single stepwise regression equation with rank sums as its factors.

继文本文提出在不同信度下,建立多个以秩和为因子的逐步回归方程,尔后应用集成最优法求出最优集成预报方程,它比文中的方法更充分地利用了大量因子的信息,从而提高了预报的精度和可靠性,其回报准确率和试报效果,均比普通逐步回归集成最优方程及文中以秩和为因子的单个逐步回归方程更为优越.

A stepwise regressive integrated optimal prediction method with freedom of distribution and slide coefficient is presented in this paper.The method is characterized by 1)transforming data into rank so as to remove the confinement of normal linear model; 2) poolinformation from several factors by “sum of rank”.So as to make use of infomation from a last amout of factors; and 3) forming multi- pie stepwise regressive equations with cyclomatic numbers under different confidence levels,and then forming a freely...

A stepwise regressive integrated optimal prediction method with freedom of distribution and slide coefficient is presented in this paper.The method is characterized by 1)transforming data into rank so as to remove the confinement of normal linear model; 2) poolinformation from several factors by “sum of rank”.So as to make use of infomation from a last amout of factors; and 3) forming multi- pie stepwise regressive equations with cyclomatic numbers under different confidence levels,and then forming a freely distributed dynamic optimal integrated prediction method by synthesizing the informa- tion from these stepwise regressive equations.Its integration coefficient relates to the predicted values at different time.thus the reliability can be promoted by making use of information of observed values at different time.The method is exemplified at the end of the paper.

本文建立关于分布自由的、带滑动系数的逐步回归集成最优方程具有如下特点:(1)对数据进行秩变换,从而排除正态、线性模型的限制;(2)利用“秩和”作为新因子,集中了几个因子的信息,从而利用了大量因子的信息;(3)在不同置信水平下建立多个秩数逐步回归方程,然后综合各个逐步回归方程的信息,建立分布自由的动态量优集成预报方程,其集成系数与各时刻的预报值有关,因而能利用各个时刻观测值的信息,提高预报的可靠性.最后给出一个实例.

he relationship between mean monthly Sea Level Pressure(SLP) distributions over Northern and Southern Hemispheres and formatting typhoon, landing typhoon and strong typhoon was studied using correlation analysis. The comparison of distributions of mean monthly SLP pattern between active and inactive typhoon years indicates that SLP distributions in the preceding autumn and winter were related with those in this summer. The possible affecting mechanisms of SLP on typhoon activities were discussed. A series...

he relationship between mean monthly Sea Level Pressure(SLP) distributions over Northern and Southern Hemispheres and formatting typhoon, landing typhoon and strong typhoon was studied using correlation analysis. The comparison of distributions of mean monthly SLP pattern between active and inactive typhoon years indicates that SLP distributions in the preceding autumn and winter were related with those in this summer. The possible affecting mechanisms of SLP on typhoon activities were discussed. A series of forecast equations associated with numbers of formatting typhoon, landing typhoon and strong typhoon were developed by regression integrated method. Furthermore, environmental conditions of genesis and development, and the possible ways of the influence of SLP over Northern and Southern Hemispheres on typhoons were also discussed.

该文利用相关分析方法,研究了台风活动季节南北半球海平面气压与西北太平洋编号台风、登陆我国的台风和强台风频数的关系.对比分析了典型多、少台风年南北半球海平面气压的分布特征.指出秋、冬季节海平面气压与夏季海平面气压存在着隔季遥相关关系,并对台风活动的预报有很好的指示意义.通过回归集成,建立了预报编号台风、登陆台风、强台风发生频数的预报方程.文中还讨论了台风发生、发展的环境条件以及南北半球海平面气压影响台风活动的可能途径.

 
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