A new modeling method of GM (1, 1) was proposed based on the research of grey theory and adaptive data fusion. The whole modeling procedure of this method was established.
基于灰色理论和自适应数据融合技术的研究，提出一种基于自适应数据融合的新型灰预测GM(1,1)模型，并对整个建模过程进行了理论推导。
All parameters in the basic solution form of GM (1, 1) can be determined with this method.
本文提出了确定GM(1,1)模型基本解有关待定参数的一种新方法——图解法。
This paper inserts grey system, makes use of finite time series, follows GM (1, 1) building method, builds the long term prediction model of total waste -water in Heilongjiang Province.
本文引入灰色系统理论，利用有限的时间序列，按照GM(1,1)建模方法，建立起黑龙江省污水总量长期预测模型。
The structure method of background value in grey system GM(1,1) model is considered to have an important influence on the adaptability and precision of GM(1,1) model.
灰色GM（1，1）模型中的背景值构造法是影响模型适应性和精度的关键因素。
Based on grey system, an equal spaced GM (1, 1) modeling and method to data processing in engineering field was put forward, the method of precision inspection was introduced.
分析数据处理的现状后，运用灰色系统理论，建立了数据处理的等间距化GM(1,1)模型，给出了精度检验方法。
The results show that the model GM (1, 1) is a practical method of prediction with simple calculation and reliable results.
结果表明，GM(1,1)模型计算简单，是一种实用的预报方法，预报结果比较可靠。
On the basis of principle and struture of GM(1, 1)model, and a series of derivation and transformation, the direct model operation method from original sequence was given.
从GM（1，1）的建模原理和模型结构特征出发，通过一系列的推导、变换，给出了直接从原始序列出发求解模型的方法。
Objective To study the method of immunotherapy against t cell lymphoma by tumor cells transfected by GM-CSF gene combined with interleukin 12 (IL-12).
目的探讨用转粒细胞巨噬细胞集落刺激因子(GM CSF)基因瘤苗，联合白介素12 (IL 12)治疗小鼠t细胞淋巴瘤的方法。
Because many uncertain factors impact the internal resistance, this paper give a real time method and establish a dynamic innovation forecast model of GM (1, 1).
同时针对影响内阻变化的因素太多且不确定的情况，提出了实时在线的方法建立起动态新息的GM(1,1)预测模型。
In order to improve the forecast precision of modified GM (1, 1) model, a new parameter estimation formula based on accumulating method to modified GM (1, 1) model is proposed.
为了提高新息改进GM(1,1)模型的预测精度，引入累积法对新息改进GM(1,1)模型的参数进行估计，给出了新的参数估计公式。
A case of predicting the discharge quantity of wastewater from chemical industry in a city shows that this method has the advantage over GM (1, 1) in prediction effect.
某市化工行业废水排放量的预测实例表明，本方法比GM(1,1)有着更好的预测效果。
This paper tries to discuss and solve the problem of the striets fitting of the differential dynamic model GM(1,1), and give a strict fitting method for building GM(1, 1)model.
本文探讨并解决了微分动态模型GM（1，1）的严格微分拟合问题，给出了GM（1，1）的严格微分拟合建模法。
According to the theory of grey system, the different time steps model of GM (1 1) in the pile foundation engineering is established, and a testing method of this model is provided.
根据灰色系统理论，首次建立了时间非等步长的桩基工程GM(1 1)模型，提出了时间非等步长的桩基工程GM(1 1)模型的检验方法。
Methods: Phenotype of T lymphocytes in bone marrow and CFU GM yields of bone marrow mononuclear cells with or without T cells were assayed with APAAP and semi solid culture method, respectively.
方法：用碱性磷酸酶抗碱性磷酸酶法检测再障患者骨髓中T淋巴细胞表型的变化，并用半固体培养法检测再障患者骨髓及去T细胞后骨髓单个核细胞CFU-GM集落形成情况。
Investigates a method of time series model with grey system model. Rules in time series can be found by GM (1, 1) model and the trend of the time series can be forecasted.
研究了利用GM(1,1)模型发现时间序列模式的方法，用GM(1,1)模型可以从时间序列中寻找变化规律，预测将来的发展趋势。
So the method combining GM theory with environmental system prediction is accurate and the process of calculation is more simple than traditional ones.
由此看出将GM建模理论和环境系统的预测相结合，计算过程简单，结果也较传统的预测方法更为准确。
From the method of predictive linear program based on the method GM (1, 1), we build the center approach grey GM (1, 1) model. Thus we improve the grey predictive linear program.
根据基于GM(1,1)模型的预测型线性规划思想方法，建立了中心逼近式GM(1,1)模型，从而给出对灰色预测型线性规划的改进。
By analysing the differential equation of GM(1,1), this paper gives an unbiased GM(1,1) model and proposes a new method of estimation of the GM(1,1)model parameters.
通过分析GM （1，1）白化方程的解析表达式 ，建立了无偏的GM （1，1）模型 ，给出了估计模型参数的新方法。
Setting up GM(1,1) grey topological model groups and through analyzing conclusion, it indicates that such model is a kind of comparatively ideal method in predicting annual surface flow.
建立GM（1，1）灰色拓扑模型群，通过结论分析，表明该模型在年径流预报中为一种较为理想的方法。
Based on the characteristic of GM (1, 1) model, this paper presents a new modelling method for the model through adding a datum to the beginning of raw data sequence.
根据GM(1,1)模型的特点，通过在原始数据序列前加一个数的方式，提出了建立GM(1,1)模型的一种新方法。
Based on the GM (1, 1) direct modeling method, a method of establishing grey logistic model is put forward, and a grey logistic model of Wenzhou population is obtained.
基于GM(1,1)直接建模法，本文提出了建立灰色Logistic模型的一种方法，并进而建立了温州市人口的灰色Logistic模型。
Practice through the presentation of the case of Shanghai GM to illustrate the method is of practical significance.
通过介绍了上海通用实践性的案例，说明研究这套方法是具有实际意义的。
Establishing and application problems of GM (1, 1) model were discussed. The method has been used to predict the production of municipal solid waste.
讨论GM(1,1)城市固体废物产生量预测模型的建立以及应用问题，并使用建立的模型对城市固体废物产生量进行预测。
Conclusion the method of mechanically, gradient centrifugation can successfully separate the TDC. GM-CSF and SCF can promote the growth of the TDC and provide satisfactory growth conditions for them.
结论梯度离心法能成功分离胸腺树突状前体细胞，GMCSF和SCF体外诱导可提供胸腺树突状细胞原代培养较为满意的生长条件。
To optimize the calibration interval of a measuring instrument, a prediction method based on the renewal GM(1,1) model is put forward.
针对测量仪器校准间隔的优化问题，分析了历史校准数据的特征，建立了等维新息马尔可夫GM（1，1）预测模型。
To optimize the calibration interval of a measuring instrument, a prediction method based on the renewal GM(1,1) model is put forward.
针对测量仪器校准间隔的优化问题，分析了历史校准数据的特征，建立了等维新息马尔可夫GM（1，1）预测模型。
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