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    A VIBRATION PROPAGATION MODEL UPON AXISYMMETRIC VISCOUS LIQUID BRIDGES IN MICROGRAVITY
    微重力下轴对称粘滞流体桥振动传播的近似模型
    STUDY ON LUMPED PARAMETER APPROXIMATION MODELS OF DISTRIBUTED PROPELLANT FEEDLINES ——MODAL APPROXIMATION MODELS
    推进剂供应管道的集中参数近似模型研究——模态近似模型
    Beginning with response surface approach model, the uncertainty model usingmultidisciplinary design parameters as perturbations is deduced, which not only decreases conservative characteristics of uncertainty expression, but also reduces computational complexity for control discipline, thus improves the convergency degree of optimization algorithum.
    从响应面近似模型出发,推导得到将多学科设计参数直接作为摄动量的不确定性模型,减小了不确定性描述的保守性,降低了控制学科计算量,提高了优化设计算法的收敛性,将鲁棒控制优化和并行子空间优化方法相结合,实现了控制学科与其它学科的并行设计与优化,成功将该方法应用到某无尾布局MAV气动、控制学科优化设计中。
    Improves the academic achievements of former scholars, puts forward a model of multi-class dynamic differential pricing for the air passenger transport, which is based on the maximum revenue for the airline industry, and gives a approximate arithmetic of the model, then showes the application of the model and its feasibility on increasing airline industry’s revenue by 25 models.
    引入一种旅客到达频率预测的统计方法,以航空公司收益最大化为目标,建立基于多等级定价基础上的动态差别定价模型,即多等级动态差别定价模型,给出模型的递归算法,通过对动态差别定价模型的运行结果进行分析,建立模型的一种近似模型,并且用25个简单算例说明模型的用法以及在提高航空公司收益方面的可行性。
    The result shows that the optimization method based on approximation technology has good global performance and also can greatly save the calculating resources.
    结果表明基于近似模型的优化方法不仅全局性良好,而且有效节约了计算资源。
    A Less Time-Consuming Method of Evolutionary Algorithm for Complex Engineering Optimization Problems
    演化算法中近似模型构造方法及其工程应用
    AN APPROXIMATE ANALYTIC MODEL FOR FALLING LIQUID FILMS DOWN VERTICAL WAVY PLATES
    波纹壁面降膜过程的一种近似模型
    Design Optimizations of Composite Laminate Structure Using Artificial Immune Algorithm with Response Surface Approximation
    基于人工免疫与近似模型的层板优化设计研究
    In Chapter 4, the aeroelastic model of the whole test rig is first established by using Jones’s approximation of Theodorsen’s unsteady aerodynamics load.
    (3)针对上述二维翼段颤振主动抑制系统,采用Theodorsen非定常气动力的Jones近似模型,建立了以超声电机为作动器的三自由度二维翼段气动弹性模型,设计了二维翼段颤振的次最优控制律。
    This thesis analyses the mathematic basis of Approximation Management Framework, the trust region method. According to the consistency condition of low-fidelity model and high-fidelity model, this thesis constructs two low-fidelity model correcting method: first order model and approximate first order model;
    本论文在分析了变可信度模型管理结构的数学基础信赖域方法的基础上,根据高可信度模型和近似模型一致性要求,分别建立了一阶近似模型和近似一阶模型两种低可信度模型的修正方法;
    It discusses the relationship of high-fidelity model, low-fidelity model and approximate model, and it gives a flow chart of AMF method.
    探讨了高可信度模型和低可信度模型以及近似模型之间的相互关系与选取原则,给出了AMF方法的工作流程;
    In order to reduce the computational cost without losing accuracy in the result,we construct every discipline's approximation model via approximation methods,and it can reduce the much time that every discipline expends,then the process of aircraft multidisciplinary design optimization could be successful.
    为了减少计算时间,但又不会对各学科计算结果造成太大的影响,因此我们用近似方法来建立各学科的近似模型,以此来减少每次迭代时各学科所用的大量计算时间,使飞机多学科设计优化可以顺利的进行下去。
    If we substitute actual model for approximation model,the precision of approximation model is very important.
    如果用近似模型来代替真实模型,那么近似模型精确度就变得非常重要。
    While approximation model is very close to actual model,and the precision of approximation is very high,the result of optimization is significant,and authentic;
    近似模型和真实模型相差不大,近似的精度很高,优化出的结果就是有意义的,可信的;
    First,the paper gives the experiment design method for constructing approximation model.
    本文首先给出了建立近似模型前所需的实验设计方法。
    If we select experiment points by experiment design method, experiment points may be more uniform and more typical. ,and it can prepare good foundation for constructing precise approximation models.
    用实验设计方法选择实验点,可以使实验点更均匀,更具有代表性,从而为建立精确的近似模型打下良好的基础。
    The paper presents an algorithm combining Square Response Surface and Radial Basis Function Neural Network to solve the question that RBFNN is often difficult to meet the precision request of approximation model.
    由于用径向基神经网络方法构造近似模型常常难以满足精度要求,本文还提出了一种把二次响应面与径向基神经网络方法相结合的算法。
 

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