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grey model
相关语句
  相似匹配句对
     Grey forecasting model
     灰色预测模型
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     Grey Engel model
     灰色恩格尔模型(GEM)
短句来源
     Model.
     模型的适用范围。
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     model.
     模型。
短句来源
     Grey GM(2) Model
     灰色GM(2)模型
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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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