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   残差辨识 的翻译结果: 查询用时:0.026秒
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残差辨识     
相关语句
  remnant distinguishing
     Meanwhile,to contrast the dynamic changing rules of soil grav-ity erosion system,the principle and approach of the remnant distinguishing are introduced to im-prove predictional level of the medels.
     同时为反映土壤重力侵蚀系统的动态变化规律,引入了残差辨识的理论和方法,以提高模型的预报水平。
短句来源
  identifying the residual error
     By combining the DM model with identifying the residual error the long period forecasting model of Chinese Grain is obtai- ned.
     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。
短句来源
     In this paper the discharge system of the "three wastes" (waste water, waste gas, waste residue) in city is considered as relative grey systems. By the theory of identifying the residual error of multi-sequence, the predicting model of the discharge of the "three wastes" in city is discussed , and an example of application is given.
     本文把城市废水、废气、废渣排放量视作有相互联系的灰色系统,建立起城市三废排放量的多序列残差辨识预测模型,并应用于一个实例预测。
短句来源
  residual identification
     Grey dynamic model (GM)for height growth has been studied on the basis of grey system theory, and prediction of height growth of forest trees has been made in combination of GM with residual identification.
     本文以灰色系统理论为基础,探讨了树木高生长的灰色动态模型(GM),並将GM模型与残差辨识相结合,对树木的高生长进行了灰色预测。
短句来源
     This paper is a application of GM(1, 1 ) forecast method on the asresult middleschool card, pass incidence measure and residual identification posterior analysis tesl, get a goodforecast fruit that the check student's work at the time of next check.
     本文将灰色系统GM(1,1)预测方法用于学生成绩管理。 通过用关联度及残差辨识后验分析检验,得到了较满意的学生预期成绩预测结果。
短句来源
     According to the material balance principle, a rough prediction model is designed. Then by employing the residual identification theory in grey forecasting and using residual time series, a residual GM(1,1) model is constructed to compensate for the predictive values of the rough prediction model.
     首先根据物料平衡原理建立了生料浆质量预测模型:然后根据灰色预测中的残差辨识理论,用质量预测模型的残差时间序列建立残差GM(1,1)模型,其预测结果补偿质量预测模型的预测值。
  residual recognizing
     Application of residual recognizing model in environmental system prediction
     残差辨识模型在环境系统预测中的应用
短句来源
     Environmental quality prediction is important in environmental prediction. Based on deep and systematic analysis of oil pollution index in Xihe river of Fuxin city from 1997 to 2000,we predict the pollution index of 2001 and 2002 by residual recognizing model and get the similar result.
     环境质量预测在环境治理工作中具有极其重要的作用,因此本文在对阜新市细河水中1997到2000年石油类污染指数进行深入而系统分析的基础上,采用残差辨识模型的预测方法,借助于计算机对2001和2002年度该污染指数进行预测,其结果和与实测值基本趋于一致。
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      identification of residual
    The structure of modifying layers and identification of residual hydrophilic groups on modified silica surface by the adsorption
          
    A rapid method for the simultaneous determination/identification of residual oxytetracycline (OTC) and sulphadimidine (SDD) in meats (beef, pork, chicken) and eggs by high-performance liquid chromatography (HPLC) was developed.
          
    These profiles allow identification of residual leukemic cells in bone marrow or peripheral blood once morphologic complete remission is achieved.
          
    A method for the determination/identification of residual sulfadimidine (SDD) in milk and eggs by high-performance liquid chromatography (HPLC) with a photo-diode array detector was developed.
          
    These considerations have influenced the design of curative- intent treatments, strategies for successfully eradicating leptomeningeal disease, and the importance of anatomic and functional identification of residual disease.
          
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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 prognosis of China (from 1983...

    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。

    Based on grey system theory and the average annual output of Chinese automobile production, a grey dynamic model is established by means of AGO of original time series and differential limitation method. Residue discrimination of single piecewise function is adopted to improve its precision. So, agrey system forecasting model of Chinese automobile production is acquired. In comparing of this model with traditional regression method, the calculated results showa satisfactory coinsidence with each other.

    本文应用灰色系统理论,以我国汽车历年产量数字为依据,经过累加生成时间序列,用微分拟合建立起灰色动态模型,并用单段函数残差辨识方法,进一步提高了模型精度,这样建立了我国汽车产量的预测模型。文中并用传统的回归法对我国汽车产量进行了预测,两者进行了对比。

    Community dissimilarity index (D_(ij)) in time series has been recommendedto indicate the stability of community. On the basis of succession of com-munity from pinus massoniana Lamb. -Dendrolimus punctatus Walker to P.massoniana-Hemiberlesia pitysophila Takagi in the Zaizhang Mountain, aforecasting model of succession trend of community has been developed byemploying grey system theory and combining GM(1, 1) model with identi-tying residual error. It indicates that when H. pitysophila intrudes intopine forest,...

    Community dissimilarity index (D_(ij)) in time series has been recommendedto indicate the stability of community. On the basis of succession of com-munity from pinus massoniana Lamb. -Dendrolimus punctatus Walker to P.massoniana-Hemiberlesia pitysophila Takagi in the Zaizhang Mountain, aforecasting model of succession trend of community has been developed byemploying grey system theory and combining GM(1, 1) model with identi-tying residual error. It indicates that when H. pitysophila intrudes intopine forest, the insect community on the plots of the first category will keepstable after fluctuating for a period of time; while the insect community onthe plots of the second category will collapse after five years. In order to identifing the cause of the findings, the GM(1, 5) model ofD_(ij) to the community diversity indexes e~(H'), e~(H'_h), e~(H'_(pred)), e~(H'_(para)) hasbeen constructed. The results indicate that it is the enemy control system andcompensation capacity or pine forest that cause tbe community stable.

    本文提出以同一群落不同时间序列上的D_(ij)值作为群落稳定性测度。在寨场山马尾松——马尾松毛虫群落向马尾松——松针突圆蚧群落演替的基础上,运用灰色系统理论,对群落的演替趋势(D_(ij))建立了GM(1,1)与残差辨识相结合的预测模型。预测结果表明,当松针突圆蚧侵入林地后,第Ⅰ组样地上的昆虫群落经一段时间的波动后,将稳定下来;而第Ⅱ组样地上的昆虫群落,将在五年后崩溃瓦解。此外,还利用D_(ij)对于e~(H′),e~(H′h),e~(H′_(pred))和e~(H′_(para))建立了GM(1,5)模型,对形成上述演替趋势的原因进行了分析。结果表明:松林较好的营养条件和松针突圆蚧强的天敌控制系统,是使得第Ⅰ组样地中的昆虫群落稳定下来的条件,而第Ⅱ组样地中昆虫群落的崩溃瓦解,是马尾松林的毁灭所致。

     
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