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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
    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
    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
    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
    Analysis for operational and support cost of equipment using grey model
    装备使用保障费用灰色建模分析
    This paper systematically presents the Grey model theory about dynamic measuringerrors Correction and its application, initially establishes the errors correction theory &technique of standard signal inserting which are based on the Grey systematic theory andstudy the unknown Specific property exploits a new way for the dynamic measuring errorcorrection.
    本文对动态测量误差修正灰色建模理论与应用技术进行了深入系统的论述,以灰色系统理论为基础,研究未知的,没有直观规律的动态测量误差特性,初步建立标准信号插入的动态测量误差修正理论与技术,为动态测量误差修正开辟了一个新途径。
    The main problem is the improvement of the precision of grey model.
    在灰色建模方面,提出了加权建模新算法及一种综合预测模型,这两种模型和一般灰色模型相比较精度有很大提高,并且将智能信息处理的思路和灰色建模结合起来了;
    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。
    The basic contents consist of grey model theory, improved algorithms, grey forecast control theory, grey neural network algorithm and the application of grey fuzzy control in the process with large time delay.
    本论文的研究内容主要包括:灰色系统建模理论、灰色建模的改进方法、灰色预测控制理论、灰色神经网络算法、灰色模糊控制在大滞后过程中的应用等。
    A new method to predict retention index in GC is brought forward by this paper. It deducts from McReynolds phase constant method that the relationship of retention indexes between five standard substances and a certain solute suits Grey model (0, 6).
    本文从麦克雷诺(McReynolds)相常数法出发推导出了五种标准物质与任意溶质i的色谱保留指数之间的关系符合灰色GM(0,6)模型,对它们进行了灰色建模
    At first, grey model is used to abstract trends from original data, and then AR or ARMA models for time series analysis are made to analyze the data after subtracting the trends.
    先采用灰色建模或逐步回归方法,从数据中得到趋势项的数学模型,然后对剔除趋势项之后的数据进行时间序列分析,建立了AR模型或ARMA模型。
    Combining grey theory with project illustration,a detailed studying of earth rock dam's observed data is done in light of grey correlation,grey model and grey forecast. And comparing the result with that of regression analysis,the feasibility of grey method is verified.
    应用灰色理论,结合工程实例,对土石坝观测资料的灰色关联度、灰色建模及灰色预测作了详细的研究,并与统计回归分析结果加以对比,证实了土石坝观测资料的灰色分析方法的可行性.
    Method of grey-relational analysis & multi-variable grey model is firstly combined into to analyze and study oil well production, to build model and predict oil-production.
    灰关联分析方法与灰色建模及预测理论 ,是灰色理论的 2个重要组成部分。 文中首次尝试将灰色理论的灰关联分析方法和灰色建模理论———多变量灰色模型MGM(1,n) (multi-variablegreymodel)结合起来 ,对油井的产量数据进行分析和研究 ,建模并预测油井的单井产量。
    In this paper, the feasibility of applying the grey model to obtaining the interpolation in dynamic measurement is analyzed, and a method is put forward to make interpolating prediction using the grey prediction model derived from the whitening of dynamic measurement errors according to the principles of grey modeling theory.
    根据灰色建模机理和特点 ,分析动态测量中灰色模型插值的可行性 ,提出动态测量误差白化生成的灰色预测模型用于插值预报的方法。
    The principle and application of GM(1,1) in feature extraction of the EEG signal is described,the GM(1,1) of EEG signal is constructed using the actual data in this paper. The parameters of the grey model are estimated and the feature is extracted, then the feature parameters are classified with the KNN classifier.
    介绍了灰色建模机理及其在脑电特征提取中的应用,利用实测脑电信号建立了脑电GM(1,1)模型,并进行了模型参数估计和特征提取,用K近邻算法对所提取的特征参数进行了分类。
    Based on the convolution transformation having the characteristic of enhancing the smooth of the transformation sequence and the Accumulated Generating Operation(AGO) theory,the grey model GM(1,1,t) with linear time term was developed by the convolution transformation with linear sequences to modeling sequences in this paper,which improved the AGO and the grey model GM(1,1) in grey modeling. The calculated results of examples showed the fitting precision of the GM(1,1,t) was higher than that of the GM(1,1) and the scope of application of the GM(1,1,t) was wider than that of the GM(1,1).
    根据卷积变换可提高变换序列光滑度的特性和累加生成的机理,对灰色建模中的序列生成方式和GM(1,1)模型加以改进,用线性序列对建模序列作卷积变换,建立带线性时间项的灰色模型GM(1,1,t),实例计算结果表明GM(1,1,t)模型的模拟精度较GM(1,1)模型有较大提高且适用范围更广.
 

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