The value calculated by the new model approximates the measure data , and the value that calculated by the whole depth mixing 2d model is much less than the measure data in the near field . this model is also superior to the traditional 2d model for its precision 可以看出，新建的部分水深平均水质模型计算值与实测值符合较好，而传统的全水深平均模型在排放口近区范围内计算浓度值及污染带范围明显小于实测值。
By using autoregressive integrated moving average model and on the basis of chinese textile and clothing export data from january of 2000 to december of 2004 , this paper carries out forecast analysis for the chinese textile clothing export tendency of 2005 and 2006 摘要本文利用单整自回归移动平均模型，依据2000年1月至2004年12月中国纺织品服装出口额数据，对2005年和2006年中国纺织品服装出口走势进行预测分析。
The corresponding models of realized volatility and realized covariance of time series of high - frequency finance are brought forward and the realized volatility - autoregressive and moving average ( rv - arma ) model and the realized volatility - vector autoregressive ( rv - var ) model are set up 摘要对高频金融时间序列的“已实现”波动和“已实现”协方差提出相应的模型并建立“已实现”波动自回归移动平均模型和“已实现”波动向量自回归模型。
The characteristics of this method includes establishment of the evaluation sets of the membership functions for single - factor , determination of the weight value sets of each factor by analytic hierarchy process , usage of the weighted average model as a comprehensive evaluation model . and industrial buildings ' quality classification through maximum membership degree method or approach degree method 其特点是：用单因素隶属函数建立评价集；用层次分析法建立权重集；采用加权平均模型为综合评定模型；用最大隶属度法和贴近度法综合划分厂房质量等级。
Data sampled in normal state are put to use to create a corresponding arma model which not only studies the statistical characterization of data , but also studies the dynamic property of system which produce these data . , thus data , model and system are connected to analyze fault 利用系统正常状态下的数据建立相应的自回归滑动平均模型( arma )模型，通过所建立的数学模型，不仅研究监测数据本身的统计特性，还研究产生此数据系统的动态特性，从而将数据、模型、系统联系起来进行分析处理。
The twelve kinds of modes and equivalent circuits of this inverter with high frequency link within one high frequency switching period are carefully analyzed ; by using the state - space averaging approach , the inverter ’ s averaging model is presented , and the design criterion of key circuit parameters and the output characteristic curve are given ; the analyses of the system stabilization and the mathematic analyzes of the principle of high - frequency - link of this inverter have also be done . prototypes for 1kva 270v 10 % dc / 115v400hzac uni - polarity phase shifting controlled bi - directional voltage mode inverter with high frequency link is designed 以全桥桥式拓扑为例,论述了双向电压源型高频环节逆变器单极性移相控制的原理、逆变器在一个高频开关周期内的十二个工作模式及其等效电路;采用状态空间平均法建立了逆变器平均模型,获得了这类逆变器的关键电路参数的设计准则和外特性曲线;分析了系统稳定性,并对逆变器高频环节原理进行了数学分析。
This system adopts cumulatively autoregressive moving average model [ arima ] of time series method and modified model gm ( 1 , 1 ) of grey system , makes a local load forecasting modeling through the integration of the above two models and also preprocesses the daily load during the sudden change of climate , thus greatly improving the forecast accuracy . the practical operation indicates that the model is reasonable and easy to operate with complete function 本系统在经过反复试算后，在算法上采用了时间序列法的累积式自回归动平均模型( arima )与灰色系统中的gm ( 1 ， 1 )改进模型，并将两种模型组合用于该地区负荷预报建模，另外还对气候急变日负荷进行了预处理，大大提高了预报准确度。
This paper studies a data experiment and identification problem of an actual system , in which the steering gear and the satellite - satellite pointing / tracking system act as the study object , based on system identification technique . the main factors that influence identification results and problems that should be paid attention to are analyzed . base on the analysis , auto - regressive moving average with exogenous input model ( armax ) for steering gear and a three - layer predictive control neural network model are established 从理论的角度研究了对于一个实际系统的数据实验设计和模型辨识问题,分析了影响系统辨识结果的主要因素以及在辨识过程中应注意的问题,并以此为依据,建立了舵机的滑动平均模型和星星天线指向控制系统的三层预测控制神经网络模型。
The twelve kinds of modes and equivalent circuits within one high frequency switching period are carefully analyses . by using the state - space averaging approach , the converter ' s averaging model is presented , the output characteristic curve and design criterion of key circuit parameters such as output voltage , filtering inductance , common conduction time , uni - polarity spwm waveform ' s duty cycle etc are given 详细分析了这类变换器在一个高频开关周期内的十二个工作模式及其等效电路。采用状态空间平均法建立了变换器平均模型，获得了输出电压、滤波电感电流、共同导通时间、单极性spwm波占空比等关键电路参数的设计准则和变换器的外特性曲线。
At present , most majority of control projects are still based on state - space averaging model or linear small signal model , as a result , it solved the analytical problem of steady state and dynamic state low frequency signals . because of the strong non - linear of the system , the application scope of this simple model is limited greatly . to gain new breakthrough on the control of the dc - dc converter , we must establish a new , more precise and applied large signal discrete model , and we must develop unconventional sampling control theories 目前绝大多数控制方案仍然基于状态空间平均模型或线性化小信号模型，这较好地解决了pwm型dc - dc变换器的稳态和动态低频小信号的分析问题，但是又由于系统的强非线性，这种简单模型的适用范围受到了很大的限制， dc - dc变换器控制上要获得新的突破，必须建立一个新的、更精确和实用的大信号离散模型，还需要发展非传统的采样控制理论。
