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grey model
相关语句
  灰色模型
     Improvement and discussion on grey model GM(1,1) and GM(2,1)
     灰色模型GM(1,1)与GM(2,1)的改进和探讨
短句来源
     Objective To discuss the grey model GM(1,1,0.2).
     目的 论述灰色模型 GM(1,1,0 .2 )。
短句来源
     The Optimization of Grey Model GM (1,1)
     灰色模型GM(1,1)优化
短句来源
     The Application of Grey Model GM(1,1,0.2) in Medical Statistics Forecast
     灰色模型GM(1,1,0.2)在医学统计预测中的应用
短句来源
     The predictive incidence rates of tuberculosis from 2004 to 2008 in Wujin district were estimated as 60.73, 62.38, 64.09, 65.84 and 67.63 per 100,000 after using Grey model (1,1);
     用灰色模型预测2004~2008 年结核病发病率分别为60.73/10万、62.38/10 万、64.09/10 万、65.84/10 万和67.63/10 万;
短句来源
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  灰色建模
     Research on the Theory and Application Technology of Grey Model for Error Correction of the Dynamic Measurement
     动态测量误差修正灰色建模理论与应用技术研究
短句来源
     A definition of accumulated generating operation in opposite direction is posed in this paper corresponding to traditional accumulated generating operation, gives a grey model GOM(1,1), provides a new generating method to grey modeling.
     相对于传统的累加生成提出了反向累加生成的定义 ,给出了灰色 GOM(1,1)模型 ,为灰色建模提供了新的生成方法
短句来源
     Grey Model and Forecast on Intact Rate of Agricultural Machinery
     农业机器完好率的灰色建模与预测
短句来源
     To the least data modeling of GM, this paper presents an idea of“3+1”to build the grey model and demonstrates the validity of it.
     针对灰色建模的最少数据问题,提出了3+1建模思想,证明只需三个测量点数据就可建立灰色模型。
短句来源
     GREY MODEL AND SENSITIVITY ANALYSIS OF SUMMER DAILY PEAK LOAD AND EFFECTIVE TEMPERATURE
     夏季日峰荷与有效温度的灰色建模及灵敏度分析
短句来源
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  灰模型
     3. Basing on the grey model, the grey prediction is used in the fire control system to complete the maneuvering target trajectory prediction.
     3.以灰模型为基础,将灰预测方法用在火控系统的机动目标跟踪预测问题上,并在matlab6.5环境下,利用仿真的手段检验其效果,分析其优缺点。
短句来源
     There are many uncertain factors for electricity consumption with the characteristic of obvious changing tendency. Grey prediction for electricity consumption is carried out by using Grey Model(GM) based on Grey Theory.
     根据社会存在用电量不确定因素较多,变化趋势较为明显的特点,基于灰系统理论建立灰模型(GreyModel,GM)对用电量进行灰预测;
短句来源
     Main research results as follows:1. The mechanism and algorithm of grey model are thoroughly analyzed.
     1.深入分析了常用的灰模型的建模机理和算法。
短句来源
     In this paper it is proved that the system cloud grey model SCGM(1,1)a0 of a monotone decreasing (or increasing) convex (or concave) sequence is a monotone decreasing (or increasing) convex(or concave) function.
     本文证明了单调递减(或递增)凸(或凹)序列的系统云灰模型是单调速减(或进增)凸(或凹)函数,从而得出了SCGM(1,1)(ao)具有更广泛的适用性和更高建模精度的结论.
短句来源
     The conclusion is that the progressing process of increasing period or decreasing period that belongs to the contraction curve of mus- culi skeleti can be exactly reflected by grey model of monotone curve, and dividing and combination of the series is an effective method that improves the procision of grey model built on non-monotone curve.
     残差检验表明该模型的精度优于全数据序列建立的灰模型,并得出结论:单调变化曲线的灰模型能很好地反映骨骼肌收缩曲线上升期和缓慢下降期的发展变化过程,序列的分段、联合是提高非单调变化曲线的灰模型精度的一种有效方法。
短句来源
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  “grey model”译为未确定词的双语例句
     Weighting accumulated generating operation and the grey model of WGM (1,1,λ,△t_k)
     加权累加生成及灰色WGM(1,1,λ,△t_k)模型
短句来源
     Improvement on grey model GM(1,1) and its application
     GM(1,1)模型的改进及应用
短句来源
     Study on the optimal dimension of the grey model GM(1,1)
     灰色GM(1,1)模型最优维数的研究
短句来源
     Generalized Grey Model GGM(1,1) and Its Application
     广义灰色GGM(1,1)模型与应用
短句来源
     Average relative error of ameliorated grey model (1,1) was 4.73%, model accuracy was good.
     残差GM(1,1)模型平均相对误差为 4 .73% ,模型精度为优。
短句来源
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  grey model
Avoiding the Eddington approximation the remaining simplifications in the basic equations are discussed, the generalized dispersion relation is analysed, and some wave properties in a grey model are studied.
      
The proposed method cannot only enhance the prediction accuracy of the original grey model, but can also solve the jump data forecasting problem something for which the original grey model is inappropriate.
      
Modified Grey Model for Estimating Traffic Tunnel Air Quality
      
This study compared three forecasting methods based on their accuracy or absolute errors in forecasting air pollution in a traffic tunnel: the Grey model (GM), the Crank-Nicholson implicit scheme model, and the forecasting combination model (FCM).
      
In this study, grey model, both GM(1,N) and GM(0,N) models, is applied to determine the priority of technical measures by evaluating the impact of each technical measure in the system.
      
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The differential grey model developed by author is the key of Five Steps Modeling thought in grey systems theory, which can be used to contact the social science and natural science, and also be useful for the quantifying modeling and dynamic making, and it is also the important approach to aualyse the social economic systems. By combining the DM model with identifying the residual error the long period forecasting model of Chinese Grain is obtai- ned. By using this model the grain...

The differential grey model developed by author is the key of Five Steps Modeling thought in grey systems theory, which can be used to contact the social science and natural science, and also be useful for the quantifying modeling and dynamic making, and it is also the important approach to aualyse the social economic systems. By combining the DM model with identifying the residual error the long period forecasting model of Chinese Grain is obtai- ned. By using this model the grain prognosis of China (from 1983 to 2000) has been proposed.

本文的灰色动态模型(GM),是灰色系统理论的五步建模思想的核心,它是沟通社会科学与自然科学的工具,能使社会经济系统量化、模型化、动态化,是分析社会经济系统的重要手段。将GM模型与残差辨识相结合建立了我国粮食的长期预测模型。用此模型取得了我国粮食总产从1983年直到2000年的预测值。

The discrete model of biological prevention and cure systems by means of Cocclinella septempunctata Linnaeus to eliminate Aphis gossypii Glover is developed. As the grey parameter is included in this model, thus we call it the grey model. In this paper, the model- ling of biological systems, the controlibility and observability have been studied. the optimal rate between Cocclinella septempunctata Linnaeus and Aphis gossypii Glover is cbtained.

本文提出了用油菜繁殖瓢虫,用瓢虫消灭棉花害虫棉蚜虫的离散模型,由于模型中含灰元故称灰色模型。本文研究了灰色模型的建立、灰色模型的灰色可控性,消灭棉蚜虫为目标的最佳“瓢蚜比”。

Using the method derived from the grey forecasting theory, this paper establishes the grey model for predicting the originate time of strong shocks in Yunnan arid Sichuan provinces. Result of the study shows for Ms≥6.5 events, (he large regional model by combining the 2 provinces together has excellent fittness between the predicted and the observed values. As to Ms≥6.0 events, the grey forecasting model established on the basis of individual provinces are likely to yield higher accuracy...

Using the method derived from the grey forecasting theory, this paper establishes the grey model for predicting the originate time of strong shocks in Yunnan arid Sichuan provinces. Result of the study shows for Ms≥6.5 events, (he large regional model by combining the 2 provinces together has excellent fittness between the predicted and the observed values. As to Ms≥6.0 events, the grey forecasting model established on the basis of individual provinces are likely to yield higher accuracy as compared with the large regional model. This suggests that earthquakes having different strengths lend to be controlled by different scale ranges. Comparisons made on several models show that model for Ms≥6.5 events lends to have much higher fittness accuracy as compared with 2 models for Ms≥6.0 events, the result of which shows the original data used in the latter models are affected by more noise contaminations as compared with that used in the former model. This might be due to the relatively lower precision in the determiuation of the magnitude parameters of the latter models as compared with that of the former model.The Brown filtering and the horizontal pattern filtering methods are used lo check if deviations are existing in the delta used in the above-mentioned procedures. The result shows that no matter from the point of view of spatial distributions or magnitude distributions, data used in this paper all satisfy the requirements of the prediction theory.

本文应用灰色预测的理论方法建立了云南、四川强震发震时间的灰色预测模型,表明对于Ms≥6.5地震,两省统一组成大区域灰模型,其预测值与观测值拟合很好;对于Ms≥6.0的地震,则分省建立灰色预测模型比大区域的模型精度更高,这说明不同强度地震受不同尺度范围的控制因素作用。对比几个灰模型,得到Ms≥6.5地震的模型比两个Ms≥6.0地震模型拟合精度都高,表明后者所用的原始数据比前者受到更多的噪音污染,这可能是由于后者震级参数测定精度低于前者等原因造成的。 文章用布朗滤波方法和水平图型滤波方法对所用资料是否存在偏值做了检验,证明本文中使用的数据不论从时间分市上还是从震级分布上都符合预测理论的要求。

 
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