多变量的

Objective To analyze multiple binomial responses data in clinical trial.

目的 研究临床试验中多个终点变量的同时分析。

A new canonical difference equation for describing multi-variable linear stochastic system is developed.

本文提出了一个描述多变量线性随机系统的典范差分方程。

Based on the ICMmethod,the discrete topological optimization problem about spot-weld's existence or not is transformed into the continuous optimization problem on[0,1].The optimization model is founded with maximizing the structural stiffness as objective and structural strength as constraints.The problem of multi-objectives and multi-constraints is transformed into the problem of single-objective and single-constraint with the K-S function.The displacement and stress are transformed into the explicit function of design variables with the Response Surface Methodology.The optimization model is solved with Sequential Quadratic Program.

基于ICM（Independent Continuous Mapping，即独立、连续、映射）方法，将焊点有无的离散拓扑优化问题转化为[0，1]区间上的连续优化问题；建立了以结构刚度最大为目标、结构强度为约束的连续拓扑优化模型；采用K-S函数将多目标和多约束问题转化为单目标和单约束问题；运用响应面方法将位移和应力转化为设计变量的显式函数，采用序列二次规划方法求解优化模型。

Then both static and dynamic neural networks are applied to predict the multivariate nonlinear time series. At last, the evaluation functions of root...

通过对实际的多维时间序列仿真，结果证明本文提出的神经网络结合主成分分析的方法预测多变量非线性时间序列是快速有效的。

In view of complicated decision-making problems in enterprises, a multi-dimension and multi-objective fuzzy optimum dynamic programming model is established. Furthermore, RAGA and dynamic programming are combined for solution, which may guarantee the optimum variable.

根据企业所面临的复杂的投资决策中的问题，建立了多维多目标模糊优选动态规划模型，并将遗传算法与动态规划法相结合进行求解，保证了优化变量的解的全局最优性。

The philosophy of General Reduced Gradient method is applied to conventional GeneticAlgorithm and a new Hybrid Genetic Algorithm is proposed.

将广义简约梯度法思想应用于传统遗传算法，提出一种新的混合式遗传算法，此方法具有很强的全局和局部搜索能力，并且无需复杂的编码、解码过程，可以准确解决多变量、多峰值的给水管网现状分析问题。

The philosophy of General Reduced Gradient method is applied to conventional GeneticAlgorithm and a new Hybrid Genetic Algorithm is proposed. Tl1is Il1ethod has a powerful searchingability globally and locally, with which the issues in analyzing the current statlls of water distribution networksfeaturing more variables and more peak values can be solved accurately without any complicated coding and de-coding processes.

将广义简约梯度法思想应用于传统遗传算法，提出一种新的混合式遗传算法，此方法具有很强的全局和局部搜索能力，并且无需复杂的编码、解码过程，可以准确解决多变量、多峰值的给水管网现状分析问题。

This paper presents a new method of sparse matrix decompose which is based on the concept of matched degree, this method can make the process much simple and can be used in the decomposition of the construct matrix with multiple-freedom variables and constraints.

本文提出了基于匹配度计算的约束分解方法，采用这种方法，可以使约束分解的过程变得很简单，并可用于多自由度和多约束度变量的结构矩阵的分解。

Finally a comparison of optimization results between complex method and genetic algorithm is carried out, which shows the value of objective function ha s decreased 6.6% under GA. This will help decrease the slippage of steering whee l and wear extent of tyre. At the same time, it also verifies the feasibility an d superiority of genetic algorithm in solving the nonlinear optimization problem s with many restraints and variables.

计算结果表明：与复合形法相比，遗传算法使目标函数值减少了6.6%，取得了较好的优化效果，从而更有利于减小转向车轮的滑移量和轮胎的磨损量，同时也验证了遗传算法解决多约束、多变量类型优化问题的可行性和优越性。

Copula-EVT model is an exploration to risk management using multivariate estreme thory. Copula is a function which links the multivariate distributions to given marginals.

Copula-EVT模型是对利用多维极值理论研究金融风险的一种探讨，Copula函数是把多个随机变量的联合分布与它们各自的边缘分布相连接的一个函数。

According to the clear water experiment, aeration performance of the new equipment is good with high total oxygen transfer coefficient and oxygen utilization ratio.

曝气设备的动力效率在叶轮转速为120rpm～150rpm时取得最大值，此时氧利用率和充氧能力也具有较高值。

The environmental stability of that world - including its crushing pressures and icy darkness - means that some of its most famous inhabitants have survived for eons as evolutionary throwbacks, their bodies undergoing little change.

稳定的海底环境─包括能把人压扁的压力和冰冷的黑暗─意谓海底某些最知名的栖居生物已以演化返祖的样态活了万世，形体几无变化。