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Results: For CRF rats which made by fed with feedingstuff contains 0.75% of adenine for 4 weeks, the weight of model control group rats were lighter than that of Yi Shen Granule groups rats. The water wastage of Yi Shen Granule groups rats were less than that of model control group rats. Compared urine volume, the ejectable quantity of Na, K, Cl and proteinuria in 12 hours , the data of Yi Shen Granule groups rats were less than that of model control rats. The specific gravity of Yi Shen Granule groups rats was higher than that of model control rats. The numerical value of RBC, HGB, HCT, MCV, MCH in model control group was lower than that in Yi Shen Granule groups. The content of BUN and Cre in serum of model control groups rats were higher than that of Yi Shen Granule groups. The results of excretion test of phenolsulfonphthalein showed that the RPF of Yi Shen Granule groups rats was larger than that of model control group rats.

结果： 益肾颗粒可以使0.75%腺嘌呤饲喂法致大鼠慢性肾衰模型动物体重增长加快；给药后观察，给药组动物饮水量较少，12小时尿量、12小时钠、氯、尿蛋白排泄总量均显著低于模型组动物，尿液比重值较大；模型组动物的RBC、HGB、HCT、MCV、MCH等指标的数值较给药组动物的数值小；给药组动物血清中BUN和Cre的含量较低；给药组动物酚红排泄率均高于模型组动物；给药30天，处死各组动物，尸解观察，模型对照组动物肾脏呈灰白色，各给药组动物肾脏表面均出现不同程度的红、白相兼的颗粒状纹理，各组动物肾脏均肿大，切面可见不同程度的腺嘌呤结晶沉积。

In this study, the following studies have been carried out(1)Test on a typical MR damper employed in this study was carried out, Neural network model based a direct model and a inverse model were established. The performance of the models were cpmpared with the Bingham model and the hyperbolic tangent model. Results show that ANN model can describe the mechanical behavior of MR damper perfectly as a nonparmetric model.

本文主要进行了以下三个方面的工作：(1)对一种典型的磁流变阻尼器进行了性能试验，利用实验实测数据建立了阻尼器的Bingham模型、双曲正切模型两种参数模型以及基于神经网络的正向和逆向模型，对三种计算模型进行了仿真分析，并与试验结果进行对比研究，结果表明，神经网络模型比两种参数模型能更好地模拟阻尼器的动态性能。

Not considering the restriction of the depot s transporting ability in the existing achievement of emergency dispatch, consequently, this chapter establishes a sole-resource optimized dispatch model aimed at "the shortest dispatch time" which includes the constraint of transporting ability under time restriction firstly. Moreover, the chapter deduces the algorithm of the model by mathematical induction step by step. Secondl y, it simplifies the former model and gives a simpler sole-objective model and corresponding algorithm including the constraint of transporting ability. At last, on the basis of the improved model, this chapter discusses a two-phase programming model and a multi-objective programming model which are aimed at "the shortest dispatch time" and "the fewest number of mobilized depots" including the constraint of transporting ability under time restriction.

由于现有应急调运的研究成果中没有考虑到各物资供应点受运输能力的约束，因此本章首先建立限制期内以"应急调运时间最短"为目标且含有运输能力约束的单物资调运优化模型：并利用逐步递推法推导出具体的求解算法；然后，进一步地将此模型及算法进行简化，建立更加简单的含有运输能力约束的单目标优化模型：并且讨论其算法；最后，在改进的优化模型的基础上，讨论限制期内含有运输能力约束且以"调运时间最短"、"出动的供应点数目最少"为目标的双层规划及多目标规划的优化模型及解法。

The TIB triphone model tying structure adaptation strategy uses the baseline acoustic model's triphone model tying result as the transcendental model clustering center, with the adaptation data alignment by the baseline acoustic model, re-estimate the TIB triphone model clustering center and model tying structure recursively under maximum likelihood principle.

以基本声学模型训练过程中的三音子模型聚类结果作为先验知识的聚类中心，依据基本声学模型对自适应语音库的分割，按照最大似然准则迭代地重估新的聚类中心和模型聚类结构。

Targeting the biomass rice stalk,we use linestone as catalyst and cracking catalyse the tar which was pyrolysised from the target.We build the rice straw biomass gasification tar removal catalytic cracking process model by the least squares support vector machine model and optimize the model parameters through genetic algorithm.We also has gotten the best catalytic cracking temperature and gas residence time, making the highest rate of catalytic cracking tar.We made wood biomass as a target analysis so that we can thermally crack tar,and we can use genetic algorithms to optimize the model parameters that is based on the wood biomass gasification pyrolysis tar removal process model through the least-squares fitting method,then we got the best pyrolysis temperature and equivalence ratio,so that it is possible to make the tar content reach the minianum.Based on the least squares support vector machine model,we had established the model of the biomass sawdust Compression molding process and fit the Optimization Parameters objective function of the molding process .

以生物质稻秆为对象，采用石灰石作为催化剂对稻秆热解焦油进行催化裂解，由最小二乘支持向量机模型建立了生物质稻秆气化焦油催化裂解脱除过程的模型，并用遗传算法对模型参数进行了优化，得到了最佳的催化裂解温度和气相停留时间，使得焦油催化裂解率达到最高；以生物质木屑作为分析对象，对其进行热裂解脱焦，并依据最小二乘曲线拟合方法建立了生物质木屑气化焦油热裂解脱除过程的模型，用遗传算法对模型参数进行了优化，得到了最佳的热裂解温度和当量比，使得焦油含量达到最小。

In building the simulation models for manufacturing missions, based on the combination with the multi-agent method and the GOOPN method, the compoundable method is presented, which makes the models more intelligent. Based on the result above, combined with the GOOPN models and the GERTS model, we put forward EPN-GERTS model through embedding Petri net into GERTS model, which can simplify the complexity in building models, and also improve the defects of GERTS model in describing resource conflicts and Petri net model in building models. In building the simulation models for development missions, the improved GERTS model is present to describe the development processes in QRMS. Through dynamically computing the redo times in GERTS, the improved model can reflect the operation character of development process. The simulation results are more precise when we use the models above.

针对构建快速研制系统的仿真对象问题，提出了基于多Agent的快速研制系统可靠性复合仿真建模方法，增强了仿真模型的智能性；在此基础上，针对制造任务，将Petri网嵌入到GERTS网中，提出了用于快速研制系统制造任务可靠性仿真的EPN-GERTS模型，简化了建模过程，同时也能考虑任务之间的资源冲突；针对研制任务，提出了用于快速研制系统研制任务可靠性仿真的改进GERTS模型，该模型可以描述设计迭代过程的动态运行特点，使仿真结果更加准确。

It described the basic thinking and method of building simulation model including the modeling method of conceptual model(conceptual model includes the hierarchical model,object model, dynamic model),and basic thinking of building the simulation model of coal wharf logistics system with the new software of Witness.

同时本文针对如何应用新一代仿真软件witness建立煤炭码头物流系统仿真模型，阐述了基本思路，建立煤炭码头的层次模型、动态模型，最后结合具体码头的特色建立其仿真模型。

This paper presents a workflow management system based on software agent. It applies an activity-based modeling method and builds formal workflow model. It also puts forward an agent model composed of activity model, intention model, skill model, self-capacity model and companion model to implement workflow management. An agent federation which can be nested is constructed to enhance system flexibility and a shared domain ontology based on workflow is defined to support semantic interoperation among agents.

文章提出了一种基于软件agent的工作流管理系统，采用基于活动的工作流建模方法，建立了形式化的工作流模型，在此基础上，定义了包括活动、意向、技能、自身能力、伙伴等模型的实现工作流运行的agent模型，构建了可嵌套的agent联邦结构，增强了系统的灵活性，并定义了基于工作流的共享领域本体论，支持agent间的语义互操作。

The system implemented forest fire model selection automatically and intelligently. BP artificial neural network model of forest fire model selection was build by treating forest fire environment data as inputting variable and treating appropriate forest fire model as outputting variable. At the same time, we studied the methods of acquiring and calculating data of inputting and outputting. The system implemented machine of model selection automatically based on dynamic data driven technology. We selected 72 items experimental data from historical forest fire records in Beijing to experiment and confirm the validity of model selection. It turned out that the reliability of model selection is more than 80 percent.

3基于BP人工神经网络方法设计了林火模型适宜性选择技术框架结构，通过神经网络形成林火模型选择知识，实现了林火模型的自动化和智能化选择；以火场环境因子为输入变量，以适宜火场环境模拟的林火蔓延模型作为输出变量，构建了林火模型选择神经网络模型；研究了输入、输出因子数据的获取与计算方式，实现了动态数据驱动的林火模型自动选择机制；以本京市为例，选择了有详细火场情况记录的72场林火作为实验样本，其中60条记录作为学习样本集，12条记录作为验证样本，对神经网络进行了学习和验证，实验结果表明，模型选择精度可达到80%以上。

So this paper applied Grey forecasting GM (1,1) model and its generated models, the Grey Markov numerical forecasting model and Comprehension model, to develop a net interest margin change forecasting model, a net interest margin forecasting model, a new decision model concerned with commercial bank interest-sensitive assets portfolio and a new expected return decision model of interest-sensitive assets portfolio.

本文以灰预测GM(1，1)模式，以及其衍生之灰马可夫预测模式与内涵模式，构建新的净利息边际变动率预测模式、净利息边际金额预测模式、利率敏感性资产投资组合最适配置决策模式与利率敏感性资产投资组合最适配置预期报酬率决策模式等利率敏感性缺口管理预测模式。

Vishnu entered a dark fourth dimensional dream that did not support his field or continued life.

毗瑟挐进入了一个第四密度的黑暗梦想，那里并不支持他的能量场或继续生命。

Leaders and decision-making persons use it to collect the data, including the information of unit work, handing in fee, oweing fee, prepaying fee,changing and afterpaying and account transfering of joining-insurance employee, and account paying of all kinds of insurances from hospitalization insurance institutions.The collected data is picked up, organized, switched and showed to user.

该子系统主要面向各级领导、决策分析人员；从各个医疗保险经办机构和定点医疗机构采集数据，包括在各个医疗保险经办机构处理的单位办公信息，单位缴费、欠费、预缴费信息，参保职工变更信息，参保职工增减变动信息，参保职工补缴信息，参保职工帐户划拨信息：包括各定点医疗机构处理的各险种帐户支出信息，各险种的统筹金支付信息等；将采集的数据提取，组织和转换，然后展示给用户。