解析模型

• Reliability prediction precision is not better in the traditional software reliability prediction models . in order to resolve this problem , semi - analytical prediction method is established in this paper . the new method combines artificial neural network ( ann ) and reliability growth model
  笔者先对传统预测模型进行了介绍和评述,指出采用传统方法,模型在预测精度上均有待提高,为了解决这一问题,笔者将人工神经网络技术应用于软件可靠性增长模型(解析模型)中,提出了软件可靠性预测的半解析方法。
• Based upon established analytical model , the finite element models of laminated shell pasted with piezoelectric units , are formulated , which employ a novel eight - node degenerated shell element - a - piezo element , then the model are converted into form of state space and transfer function
  在解析模型的基础上，运用有限元方法，构造了一种新型的八节点退化壳元? ? piezo单元，推导建立了表面粘贴有压电材料的层合壳结构的有限元动力学模型，并将其转换成状态空间和传递函数形式。
• Against this background the thesis probes the mutual relationship of information technology and enterprise management , finds their combination point , on this basis , systematically analyses the influence of information technology to enterprise management , unfolding from the five sides of management technology and method , management and organization model , management behavior , management thought and management responsibility , considers that the influence present situation of information technology to enterprise management embodies the optimization management technology and method , flexible management and organization model , coach management behavior , pliable management thought and innovative management responsibility , and that the influence present situation of information technology to enterprise management supplies wide space for the enterprise management model optimization , studies the enterprise management model optimization in theory : integrated management method , flat pliable net management and organization form , humanism organization management , which is the organization management around person and digital strategy management , and constructs the mould of enterprise management model optimization , which are the background supporting framework of the enterprise , the restricting factors of the enterprise management model optimization , the stimulating mould of the information ? technology to the enterprise management model optimization , and the comprehensive mould of the enterprise management model optimization
  文章以此为背景探讨了信息技术与企业管理的互动关系，找出二者的结合点，并在此基础上，系统地剖析了信息技术对企业管理的影响，从管理技术方法、管理组织模式、管理行为、管理思想、管理职能五个方面详细展开，认为信息技术对企业管理影响的现状体现于优化的管理技术方法、灵活的管理组织模式、教练式的管理行为、柔性的管理思想、创新的管理职能，并认为信息技术对企业管理影响的现状为管理模式的优化提供了广阔的空间，从理论上研究了企业管理模式的优化：集成化的管理方法；扁平化、柔性化、网状化的管理组织模式；人性化的组织管理即以人为中心的管理；数字化的战略管理，构建了企业管理模式优化的模型：企业管理模式优化的底层支撑框架、企业管理模式优化制约要素互动解析模型、信息技术对企业管理模式优化的刺激模型、企业管理模式优化的综合模型。
• Based on the summary of previous evaluation methods , this paper points out the shortcomings of them , then draw the theory of artificial neural network into risk evaluation , through an example of some kind of investment project and the training and examination of a group investigation sample , it sets up the artificial neural network model . at last , this model is applied to the real case of an engineering project to evaluate its risk level and satisfactory result is made ; in the fifth chapter of this paper , the main risk factors that affect the economic appraisal of the engineering investment project are described through the form of relationship chart . then it is proved by way of deduction of formula that the risky influence that is brought by inflation must be considered in the engineering investment project
  本文在对以往评价方法进行归纳总结的基础上，指出其中存在的不足之处，将人工神经网络理论引入到风险评价中，以某一类投资项目为例，通过对一组调查样本的训练和检测，建立了工程投资项目风险评价的人工神经网络模型，并通过实例对模型进行了验证，取得了满意结果；在本文第五部分，对影响工程投资项目经济评价的主要风险因素以关系图的形式进行了描述，然后通过公式推导证明了在工程投资项目中应该考虑通货膨胀带来的风险影响，接着在分析以往建立的经济评价净现金流量表达式存在不足的基础上提出了另外一种方式的表达式，即净现值解析模型，对该模型的求解进行了详细的说明，并分析了如何恰当的选择各风险变量的概率分布，最后在考虑投资者风险偏好的前提下，提出了工程投资项目新的风险度量模型。
• Due to the fact that fuzzy control , compared to conventional controls , is more suitable for those controlled plants that are difficult to model analytically and exhibit coupling features as well as nonlinear characteristics , the fuzzy logic methodology is employed to solve the modeling and optimizing control problems of water supply system
  由于模糊控制比传统控制方法更适用于那些难以建立解析模型、具有强耦合和非线性特性的受控对象等方面的优点，本论文采用模糊逻辑方法来解决供水系统的建模和优化控制问题。
• In the chapter 3 , it mainly deduces the mathematic models of six factors of the target ship and the problems of " given point " and " well - timed point " in the plane orthogonal reference frame . also it can calculate the standard results of each assessment factor by means of these mathematic models
  第三章主要是在雷达标绘平面直角坐标系中，推导出目标船六要素、 “预定点”问题和“时机点”问题的数学解析模型，武汉理厂大学硕十学位论文并且通过这些数学模型计算出各个评估要素的标准值。
• In this paper matlab and vb are used to build a software which can predict absorption coefficient ' s of the underwater anechoic coatings from these analytical models . finally , some algorithm of the single parameter minimization , nonrestraint nonlinear minimization and restraint minimization in the optimization design theory are studied . the formulas of absorption coefficient of these analytical models are object functions
  本论文利用各种解析模型的声学设计理论，使用matlab与vb软件建立了一套水下消声覆盖层吸声系数预报软件，研究了最优化设计中单参数最小化、无约束非线性最小化和有约束最小化理论的一些算法，利用现有模型的吸声系数计算公式作为目标函数，初步优化了一些结构的材料参数。
• ( 2 ) proposed a new udp congestion control scheme based on explicit rate . in the new scheme , the end - systems get the fair bandwidth of the bottleneck link in the connection , with the support of the routers in networks . then the sender regulates the send - rate to this fair bandwidth smoothly
  基于流体流理论，从数据传输的角度，根据网络设备情况将网络系统分浙江大学博士学位论文解为各个独立的子对象，通过建立子对象的模型来构造ip网络系统的数学解析模型; 4 .运用混杂系统来描述tcp拥塞控制策略的数据传输过程。
• If it is not good enough , optimal control module based on principle component analysis and clustering search will function for optimization . this algorithm makes no request for accurate analytical model and maintains search efficiency and self - adjusting performance by an optimal parameter set derived from process data , which is proved to be effective . by practical running of dcs , a prominent tracing performance is gained and variation of parameters is limited in a small range , which enhance stability and production benefit of sintering process obviously
  烧结过程是一个影响因素复杂、干扰严重、具有不确定性的工业过程，传统的基于对象精确解析模型的优化策略难以奏效，因此在控制参数优化模块中提出了一种基于主元分析和聚类搜索的优化匹配算法，该算法不要求对象的精确模型，其搜索效率和自校正性能依赖于从生产过程历史数据中抽取的优化参数样本库，充分利用了烧结生产过程积累的生产数据所包含的信息，取得了不错的效果。