Chinese translation for "预报因子"

forecaster
predictor

Related Translations:

凌汛预报:  forecast of ice-jam flood

业务预报:  operational prediction

预报天气:  to forecast the weatherweather forecasting

洪水预报:  flood forecasting (prediction)flood prediction (forecasting)floodforecasting（prediction）floodprediction（forecasting）

预报技术:  forecasting technique

统计预报:  statistical forecaststatistical predictionstatistics forecast

区域预报:  area forecastarea outlookdistrict forecastregional forecast

实验预报:  laboratory forecasting

预报图:  forecast chartforecast mapprognostic chart

预报区域:  forecast areas

Example Sentences:

	1.	The northeast japan is the " key region " in which the soohpa height fields of the preceding winter influence spring rainfall in the south shandong province , hence it can 冬季日本东北部500hpa高度场升高(降低) ，春季山东南部降水偏多(少) ，因此冬季日本东北部50ohpa高度场可以作为预测山东春季降水的前期预报因子。
	2.	The analysis of the meteorological and hydrological data shows that there is close correlation between the water level of the xijiang river and the upper reach water level and areal mean rainfall 摘要根据气象和水文资料，以上游面雨量、水位值为预报因子，以西江流域的梧州水位为预报量，发现预报因子与预报量有很好的相关性。
	3.	By using predictor puffing method , this paper calculated and analyzed the anomalies of 74 atmospheric circulation characteristics during various periods which were puffed from last january to april of this year 摘要选择上年1月至当年4月为预报时段，采用预报因子膨化技术，将大气环流特征量按月依次组合成不同时段，计算出不同膨化时段的74项大气环流特征量距平值。
	4.	Evidence suggests that the prognostic ability of the new model with high stability , when hidden nodes changing nearby input nodes and training times changing at the certain extent , is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information , properly utilizing the ability of ann self - adaptive learning and nonlinear mapping . but the linear regression technique only selects several predictors by the f value , many predictors information with high relative coefficients is not included . so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields 进一步深入分析研究发现，本文提出的这种基于主成分的神经网络预报模型，预报精度明显高于传统的逐步回归方法，其主要原因是这种新的预报模型集中了众多预报因子的预报信息，并有效地利用了人工神经网络方法的自组织和自适应的非线性映射能力；而传统的逐步回归方法是一种线性方法，并且逐步回归方法只是根据f值大小从众多预报因子中选取几个预报因子，其余预报因子的预报信息被舍弃。
	5.	By analyzing the rainfall data of 20 hydrological stations in the miyun reservoir basin from 1970 to 1993 , the relationship between 45 heavy rainfall events and synoptic situations , nwf outputs , the forecast indexes and synoptic patterns are put forward , and 24 - hour heavy rain forecast equations of june , july , august in the miyun reservoir basin are developed 通过整理1970 - 1993年24年间水库流域内20个水文站雨量资料，分析45个暴雨天气样本与历史天气形势和数值预报产品的关系，筛选出预报指标和预报因子，使用数值预报产品的解释应用方法，根据天气环流形势的分型，分别组建了6 、 7 、 8月每个月份的未来24小时暴雨天气预报方程。
	6.	Aiming at the problem on taking no account of relation of forecast factors and instability of regression results caused by selected factors with no orthonormalization which would bring out error to computational results , monadic linear regression analysis and nature orthonormalization function as well as stepwise regression were integrated to establish forecast models of cold in nanjing and upper respiratory tract infection , cerebral hemorrhage as well as cerebral infarction in jinhua 过去在选择预报因子时没有考虑预报因子间的相关性，挑选的预报因子由于非正交使回归计算的结果不稳定，给计算带来一定的误差。针对这一问题，文章将一元线性回归分析、自然正交函数法( eof )和逐步回归方法结合起来，建立了南京感冒以及金华的上呼吸道感染、脑出血和脑梗塞的发病指数预报模型。并将模型结果与逐步回归法建立的模型进行比较。
	7.	Upon using an artificial neural network ( ann ) a new short - term climate forecast model with the monthly mean rainfall in june in the north of guangxi as predictand is established making empirical orthogonal functions ( eof ) to the 36 predictors ( 15 ssa predictors , 21 500hpa height predictors ) with over 0 . 05 significant correlation level of previous 500hpa height and sea surface temperature ( sst ) field , and selecting the high relative principal components , at the same time , a new approach of constructing ann learning matrix is developed . predictive capability between the new model ( principal components ann model ) and linear regression model for the same predictors is discussed based on the independent samples and historical samples 本文通过对广西北部6月平均降水量(预报量)同北半球月平均500hpa高度场和北太平洋月平均海温场进行相关普查，选取了前期36个同预报量相关显著水平达到0 . 05以上的预报因子( 15个海温场预报因子， 21个高度场预报因子) ，并运用自然正交函数展开方法对这36个前期预报因子展开，取其中同预报量相关程度高的主成分，结合人工神经网络技术，提出了一种新的构造人工神经网络学习矩阵的方法，建立了一种新的短期气候预测模型。
	8.	Fourthly , in this paper , we integrate theories of time series analysis and principles of climate dynamics , research mechanism of the evolving process of air temperature , combine physical analysis with statistical analysis of stochastic process , select forecast factors and construct the mathematical model framework of nonlinear time series according with the evolving feature of air temperature 4综合随机过程的统计理论与气候动力学原理，研究短期气温演变过程的机理，将物理成因分析与随机过程的统计分析结合起来，选择预报因子，建立符合气温演变特征的非线性时空序列的数学模型框架。

Similar Words：

"预报凶事者" Chinese translation, "预报修正" Chinese translation, "预报序列" Chinese translation, "预报验证" Chinese translation, "预报议程" Chinese translation, "预报员" Chinese translation, "预报员说可能下雨" Chinese translation, "预报站" Chinese translation, "预报者" Chinese translation, "预报正反检验" Chinese translation