运用双重鲍尔点附近的两段曲线来逼近给定的两段直线，其逼近精度为3阶。
Using two curves around the double Ball point to approach two given lines with 3 order precision is realized, which solves the problem of double straight line synthesis.
然后分析了多结点样条插值方法的逼近精度、正则性、插值核函数的频域特性。
Then the accuracy of approximation, regularity of many-knot splines interpolation method and frequency property of the interpolation kernel are worked out for comparison.
利用应力佳点，可以在不增加计算时间与存贮量的情况下显著提高应力逼近精度。
When this result is applied to numerical computation the accuracy of the stress approximation can be greatly improved, and the time of computation and the memory requiment will not be increased.
目的为了提高GPS水准的拟合模型在逼近高程异常曲面时的逼近精度和可信度。
AimIn order to improve approximating precision and reliability of GPS leveling of imitated model in approximating abnormal height curved surface.
仿真实验表明，在参数个数相同的情况下，使用新模型的逼近算法在逼近精度与预测误差两方面都优于使用原模型。
In simulation, with the same number of parameters, the new algorithm gets better approximation precision and less prediction error than those of the hinge-finding algorithm.
径向基函数神经网络是其中的一类非常有效的前馈网络，具有收敛速度快、逼近精度高、可避免局部最小等优越性。
Radial Basis Function Neural network is an effective feedforward network. It has high convergence rate and high approaching precision, and can avoid local optima.
该线性化方法的误差主要来源于映射参数分布的不均匀性，对于常见的可用平行四边形剖分的膜，其逼近精度相当高。
The error of the present method mainly comes from the non-uniformity of the mapping parameters, and thus this method works very well for most membranes whose shapes are close to parallelogram.
该方法以有限个理论计算数据为样本，采用多项式函数离线进行回归，在保证高的逼近精度的前提下，以显著提高在线计算速度为目的。
The presented method is more accurate for using polynomial regression of theoretical calculated data as sample off-line and is quicker for the reason of its fixed polynomial pattern on-line.
在综合大量实例的基础上，提出双高斯函数逼近多模光纤的光脉冲输出的解析近似方法，使时域法确定光纤带宽的精度大为提高。
On the base of a plenty of facts we suggested a method in which bi-Gaussian form is approached the output pulse in multimode fibers The accuracy measuring band in time domain can be improved highly.
着重介绍了数值逼近方法中的多项式曲面函数模型逼近法，并通过实测数据对多项式函数模型的精度进行分析。
The paper emphasizes on the methods of polynomial surface approximation which is part of numerical approximations, and analyzes the precision of polynomial function model through the measured data.
同时，给出了一个实例来计算分析四种逼近方法插值精度。
Simultaneously, the interpolation accuracy of the four kinds of approximation methods are calculated as example.
理论分析说明这种模糊规则后件参数学习算法是收敛的、所建模糊模型能够以要求的精度逼近已知的实验数据。
The learning algorithm and the characteristics of the fuzzy rules model which can approximate the experiment data are shown to converge to any arbitrary accuracy by the theoretical analysis.
CBRCMS基于大量的历史优良配方，以色度迭代逼近技术作为配色精度的基本保证，并将其作为CBR配方复用的主要方法。
Based on multiple excellent recipes, CBRCMS takes chroma iterative approximation technology as a crucial factor ensuring color-matching precision, and treats it as a key method of CBR multiplexing.
利用DTM最重要的是保证它的真实性， DTM精度是指数字地面模型与实际地形表面的逼近程度。
The most important thing making use of DTM is to guarantee validity; the accuracy of DTM is degree of approximation of DTM'surface and actual terrain surface.
仿真结果同时还表明RBF网络的逼近能力要优于BP网络，训练所花费的时间也要少得多，并且容易达到较高的精度。
At the same time, we can conclude that RBF neural network have better approaching ability than BP neural network and spend less time in training, and can get high precision from the simulation.
提出了线性t -S模糊系统以任意精度一致逼近紧致集上任意连续实函数的一个充分条件，并给出了数值示例。
This paper presents a new sufficient condition under which the linear t s fuzzy systems can uniformly approximate any real continuous functions defined on a compact set to any degree of accuracy.
并用鲁棒控制项对模糊系统逼近误差进行补偿，减少了其对跟踪精度的影响。
A robust control term was used to compensate the approximation error of fuzzy systems, which could reduce the effect on tracking accuracy caused by the error.
样条函数以其特有的优点可以用来逼近任意的连续曲线，且具有很高的精度。
Spline functions can be used to approach arbitrary continuous curves with high accuracy.
BP神经网络通过调节连接权重可以实现以任意精度逼近非线性函数，利用这一特点可对非线性函数关系进行拟合。
BP neural network can implement approximating nonlinear functions by arbitrary accuracy through regulating variable weight connection. This character can fit the nonlinear functions relations.
仿真与实例计算结果表明，已知点的分布情况及磁异常变化情况不同时，四种逼近方法的插值精度是不同的。
The results of the emulation and example show that the interpolation accuracy of these methods are different with distributing of known survey point and change of magnetic anomaly.
证明其可以以任意的精度逼近一类广泛存在的非线性广义系统。
It demonstrates that T-S fuzzy singular systems could approximate to a wide class of nonlinear singular systems with arbitrarily high accuracy.
一个简单的三层BP前馈网络，采用简单的非线性转移函数，就可以以任意精度逼近任何非线性函数。
A simple three-layer BP network using simple nonlinear transfer functions can approximate any nonlinear functions with any precision.
利用模糊系统具有以任意精度逼近非线性函数的能力设计FDO对未知干扰和不确定进行估计，并通过鲁棒控制项来提高系统的性能。
Thanks to the approach ability of fuzzy systems, a FDO was used to estimate the unknown disturbances and uncertainties, and the whole system performance was enhanced by a robustifying item.
理论分析和实际计算发现，利用本文提出的修正次优子集回归法对给定的任意精度都可求出最佳逼近结果。
Theoretical and practical computation show that the optimal approximation results can be obtained using the suboptimal subset regression algorithm proposed by the paper for any given precision.
它可为不同时速的A/D转换系统确定逼近真有效值的精度采样频率和采样个数。
It can precisely define sampling frequency and sampling amount of true effective value of approaching signal for A/D conversion system at different speed.
根据精度要求，模拟高斯低通滤波器采用5阶低通滤波器来进行逼近。
According to the need of precision, 5 cascaded low pass filter approaching the analog Gaussian low pass filter.
本文将基于RBF网络的信息融合技术应用于水位传感器的故障诊断，通过构建高精度RBF 网络逼近器，提出了一种新的故障诊断结构和诊断方法。
Through constructing the RBF network approximation facility, this paper proposes a novel fault diagnosis structure and method applying RBF network to the fault diagnosis of drum level sensor.
本文将基于RBF网络的信息融合技术应用于水位传感器的故障诊断，通过构建高精度RBF 网络逼近器，提出了一种新的故障诊断结构和诊断方法。
Through constructing the RBF network approximation facility, this paper proposes a novel fault diagnosis structure and method applying RBF network to the fault diagnosis of drum level sensor.
应用推荐