逼近

We study a kind of efficient approximation method: maximum entropy method for multiobjective minimax problems from the point view of numerical computation.

本文从数值计算的角度对求解多目标minimax问题的一种有效的逼近方法：极大熵方法进行了研究。

Simulation results obtained using both artificial and real data show that the estimation performance of the proposed method is a good approximation of the unknown function and the computation complexity is significantly reduced.

最后对人工和实际的样本进行了试验，结果说明了线性规划支持向量回归能较好地逼近被估计函数，且计算复杂度明显降低。

Ii A new class of fuzzy two-stage minimum-risk model is proposed. The approximation of credibility function and the convergence of approximation method are discussed.

建立一类新的模糊两阶段最小风险模型，讨论可信性函数的逼近方法及其收敛性。

Simulation results for both artificial and real data show the generalization performance of our method is a good approximation of SVMs and the computation complexity is largely reduced by our method.

文中最后对人工和实际样本进行了实验，结果说明了线性规划支撑矢量机在推广能力上较好地逼近了原支撑矢量机，而在计算复杂度上明显低于原支撑矢量机。

For the data set with noises, a regularization intropolation method is proposed according to regularization theory. The relation between the regularization intropolation method and radial basis function method is analysed and structure of regularization neural networks is proposed. RBF neural network is introduced by mortifying the regularization neural networks. Finally the approximation capacity of RBF neural networks is analysed. 4. A method of selecting the centers of hidden layer neurons of RBF neural networks is proposed.

首先从精确内插问题开始对RBF神经网络进行讨论，然后根据正则化理论提出了在数据集带有噪声的情况下的内插方法，并分析了这种内插方法和径向基函数方法之间的密切联系以及其对应的正则化神经网络结构，其次对正则化神经网络进行了修改，得到正则化神经网络的简化形式—RBF神经网络，最后分析了RBF神经网络的逼近性能。

Based on inverse equation, the forward solution model of position is presented in this thesis through method of successive approximation, for parallel robots possess characteristic of easy inverse solution and difficult direct solution. The method is proved to be highly effective by simulation example.

根据6-SPS并联机器人反解容易、正解较难的特点，本论文基于位置反解方程，通过杆长逐次逼近的思路建立了位置正解模型，并对该方法进行了实例验证。

In this paper, we study the decreasing types of the output of oil field opened by pouring water and the successive approximation method of its solution in mathematics and seepage flowing mechanics.

从数学和渗流力学概念对注水开发油田产量递减类型和判别求解方法进行了研究，提出产量递减类型应为指数递减和双曲线递减两种类型；双曲线递减的递减指数n的变化范围应为0＜n＜∞；递减类型判别和递减参数求解方法可以根据最小二乘法原理，采用数学逐次逼近法直接求解产量随时间递减的关系式。

Aimed at the optical radar system that commonly used by shooting range,based to the light-wave radial′s operation trajectory in atmosphere,and using the method of successive approximation,we obtained an applied atmospheric refraction error correction method of optical radar.

针对靶场常用的光学雷达系统，根据光波射线在大气中的运行轨迹，利用逐次逼近法得到了实用的光学雷达大气折射误差修正方法。

This dissertation introduces the whole scheme、the hardware electro circuit design and software design, the result of experiment on salinometer is preferred at the end of the dissertation. Salinometer is base on SOPC technology, and use digital technology to design circuit: the excitation source for balance bridge is generated by digital method, its shape、amplitude and frequency can be control by digital signal, the standard branch of bridge is composed of three digital-analog-conversion, and uses the method of successive approximation to regulate the balance of bridge.

盐度计以SOPC技术为基础，通过数字化方式设计测量电路：电桥的激励源由数字化方式产生，激励源的波形、幅值和频率等可由数字量控制；平衡电桥标准支路由3个数模转换器组合实现，测量时以逐次逼近的方式调整电桥的平衡度；检测电桥平衡度的高灵敏度数字检流计同样以数字化方式设计，它的增益由程序控制，将电桥的输出电压数字化，以软件判断电桥平衡度。

Results show that the energy function is Lyapunov stable and the network can be used for finding the minimum covering sphere of a polytope.

第七章 利用有理函数逼近的许多优良特性，构造了一种新的有理连分式链神经网络，给出了网络的一般拓扑结构图和学习算法。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。