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准指数规律
相关语句
  accurate index law
     According to the mechanism and condition of grey GM(1,1) (grey-model) model building ,it is the important condition of building mould that data has accurate smoothness,often making data have accurate index law through progressive generation.
     根据灰色GM(1,1)模型(grey-model)的建模机理和条件,数据具有准光滑性是建模的重要条件,经常通过累加生成使数据具有准指数规律
短句来源
     But for data,which have accurate index law,further progressive generation may destroy its inde law.
     但对数据本身具有准指数规律,进一步累加生成可能会破坏其指数规律。
短句来源
     If data have accurate index law, direct data grey model should build to do with them.
     如果数据本身具有准指数规律,应该按照直接数据灰色模型的建模方法。
短句来源
     So it is helpful to get rid of blindness in mould building,and using direct data grey GM(1,1) for the data sequence that has accurate index law can get higher precision,which has verified it抯 validity.
     这样有利于克服建模中的盲目性,并且对具有准指数规律的数据序列用直接数据灰色GM(1,1)模型的建模方法能够获得较高的精度,验证了它的有效性。
短句来源
  “准指数规律”译为未确定词的双语例句
     Aim at this kind of condition in establishing grey model,it should allow the judgement of index law of data at first.
     为此在建立灰色模型中,应先对数据进行准指数规律的判断;
短句来源
     And then,a GM(1,1) was established. The limitation of simulating a stochastic and oscillating sequence through GM(1,1) under the condition of the satisfaction of quasi-smoothness of original sequence and the satisfaction of quasi-exponential law of 1-Accumulating Generation Operator was talked over.
     然后建立了GM(1,1)模型,讨论了在原始序列准光滑条件满足、1-AGO准指数规律满足条件下GM(1,1)模型模拟随机振荡序列的局限;
短句来源
  相似匹配句对
     ON THE INDEX OF ALMOST DIAGONAL MATRIX
     对角阵的指数
短句来源
     The index law of ion scattering is deduced.
     导出了离子散射的指数规律
短句来源
     Study on fluctuation of Baltic Freight Index
     海运价格指数的波动规律
短句来源
     Tautology,Basic Laws of Formal Logic and Semi-paradox of Logic
     重言式、逻辑规律逻辑悖论
短句来源
     Discussion on Basic Laws of Formal Logic and Semi-paradoxes of Logic
     逻辑规律逻辑悖论探讨
短句来源
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According to the mechanism and condition of grey GM(1,1) (grey-model) model building ,it is the important condition of building mould that data has accurate smoothness,often making data have accurate index law through progressive generation.But for data,which have accurate index law,further progressive generation may destroy its inde law.Aim at this kind of condition in establishing grey model,it should allow the judgement of index law of data at first.If data have accurate index law, direct data grey model...

According to the mechanism and condition of grey GM(1,1) (grey-model) model building ,it is the important condition of building mould that data has accurate smoothness,often making data have accurate index law through progressive generation.But for data,which have accurate index law,further progressive generation may destroy its inde law.Aim at this kind of condition in establishing grey model,it should allow the judgement of index law of data at first.If data have accurate index law, direct data grey model should build to do with them.So it is helpful to get rid of blindness in mould building,and using direct data grey GM(1,1) for the data sequence that has accurate index law can get higher precision,which has verified it抯 validity.

根据灰色GM(1,1)模型(grey-model)的建模机理和条件,数据具有准光滑性是建模的重要条件,经常通过累加生成使数据具有准指数规律。但对数据本身具有准指数规律,进一步累加生成可能会破坏其指数规律。为此在建立灰色模型中,应先对数据进行准指数规律的判断;如果数据本身具有准指数规律,应该按照直接数据灰色模型的建模方法。这样有利于克服建模中的盲目性,并且对具有准指数规律的数据序列用直接数据灰色GM(1,1)模型的建模方法能够获得较高的精度,验证了它的有效性。

Due to the characteristics of randomicity and gray information in forecasting runoff,the traditional models were quite difficult to solve those complex and non-structural problems.Based on the runoff forecasting of some gauge stations in Tarim River Basin participated,the validity and some problems of GM(1,1) and BP algorithm existed in runoff forecasting were discussed.In the paper,the gray absolute,relative and integrated correlation degree between characteristic series and factors' series were firstly analyzed...

Due to the characteristics of randomicity and gray information in forecasting runoff,the traditional models were quite difficult to solve those complex and non-structural problems.Based on the runoff forecasting of some gauge stations in Tarim River Basin participated,the validity and some problems of GM(1,1) and BP algorithm existed in runoff forecasting were discussed.In the paper,the gray absolute,relative and integrated correlation degree between characteristic series and factors' series were firstly analyzed using gray correlation theory.And then,a GM(1,1) was established.The limitation of simulating a stochastic and oscillating sequence through GM(1,1) under the condition of the satisfaction of quasi-smoothness of original sequence and the satisfaction of quasi-exponential law of 1-Accumulating Generation Operator was talked over.In the end,an artificial neural network model was set up.The weight matrices and biases of the network were trained using BP algorithm.The historical evolvement of runoff was simulated and the runoff of reserved years were predicted and checked up.

因径流量预测中伴随着随机性、灰信息性的特点,传统的数学模型难以解决复杂的非结构化问题。在参与塔河流域多个水文控制站点径流量预测的基础上,探讨了GM(1,1)与BP算法在径流量预测中的有效性及存在的一些问题。首先用灰色关联理论对相关序列的灰色绝对、相对、综合关联度进行了分析;然后建立了GM(1,1)模型,讨论了在原始序列准光滑条件满足、1-AGO准指数规律满足条件下GM(1,1)模型模拟随机振荡序列的局限;最后建立了神经网络模型,应用BP算法训练网络权矩阵和偏置,对径流量的历史演变进行了仿真模拟,对预留年份的径流量作了预测检验。

Aiming to deal with the problem of storage reliability prediction for missile equipment,by inspection of original data sequence whether it have quasi-exponent law,established corresponding grey prediction model,and proposed a new method of estimation of the model parameters,Kalman filtering algorithm was used to reduce the randomicity of the original data.The examples show the model simple,practical,high precision and good universality.

针对导弹设备贮存可靠性预计问题,通过对原始数据序列是否满足准指数规律的检验,建立了相应的灰色预测模型,并提出了一种新的估计模型参数的方法,采用卡尔曼滤波算法减弱原始数据的随机性。算例表明模型简单实用、精度高、通用性好。

 
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