非线性逼近在许多方面有着广泛的应用。
The nonlinear approximation is applied widely to many fields.
线性逼近法的应用。
多点法使用分段线性逼近的方法对非线性推移有良好的校正效果。
Multi-point formula, depending on the segmented linear approximation, turns out to be effective in correcting the no…
神经网络的非线性逼近能力的研究是神经网络成为辨识模型的理论基础。
The theory of identification model based on neural networks(NN)is to research into its capability of nonlinear approximation.
给出一种构造组合线性逼近算子的方法。由此可得到具有特殊逼近性质的线性算子。
A method to construct a kind of combinatorial linear approximation operators is given and some linear operators which have special approximation properties are obtained.
以SAFER++为例，通过基础模块的密码特性分析，建立密码分析的线性逼近式。
With the case of SAFER + + as an example, the special linear approximations were obtained by analyzing the basic modules.
本文主要基于神经网络的非线性逼近性质建立预测模型，来研究我国火灾损失的预测问题。
In this thesis, the prediction model of fire cost is built mainly based on the nonlinear approximation property of neural networks, which can be used to investigate our country's fire cost.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
该文提出了一种用线性逼近方法、基于灰度信息从图像获取物体深度信息，从而实现物体三维表面重建的算法。
This paper presents an algorithm of acquiring depth map using linear approximation based on gray level information. Using the algorithm, surface reconstruction can be easily realized.
然后用相同的小波基对给定的环境光做小波变换，只保留其中绝对值较大的系数，从而得到环境光的非线性逼近。
Then, it approximates the environment map in the same wavelet basis by keeping only the largest terms to get a non-linear approximation of the environment-map.
该模型利用RBF神经网络的非线性逼近能力对预测日负荷进行了预测，并采用在线自调整因子的模糊控制对预测误差进行在线智能修正。
The model forecasts the daily load by the nonlinear approaching capacity of the RBF neural network, than corrects the errors by on-line self-tuning factors of fuzzy control.
本文将对一类非线性t - S模糊系统的非线性逼近能力进行研究，证明这种模糊系统在输入模糊子集为高斯型隶属函数的情况下，具有通用逼近性。
In this paper, we will study the nonlinear approximation of a kind of nonlinear T-S fuzzy system, and prove that when the fuzzy sets are Gaussian membership functions, it has universal approximation.
第二种方法是一种新颖的建模策略，它把晶体生长率作为非线性逼近器的人工神经网络（ANN）与由蔗糖晶体质量平衡所表述的先前既定的知识相结合。
The second is a novel modeling strategy that combines an artificial neural network(ANN)as an approximator of the growth rate with prior knowledge represented by the mass balance of sucrose crystal.
我们利用现今流行且实用的瞳孔—角膜反射向量法作为理论依据，在实现过程中，我们改进和实现了一个高效的实时眼动跟踪算法，即线性逼近预测算法。
Based on the theory of pupil center corneal reflection, the authors improved and realized a highly efficient linear prediction algorithm for real-time eye gaze image processing.
针对外部持续扰动下的线性时滞系统，提出一种前馈-反馈最优控制的逐次逼近算法。
A successive approximation algorithm of feedforward and feedback optimal control for linear systems with state time-delay affected by persistent disturbances is presented.
非线性函数逼近作为统计理论的一个重要分支，在模式识别中有着广泛的应用。
As one of the important branches in statistic theory, the non-linear function has a large application in model-identification.
在此基础上，利用人工神经网络强大的非线性函数逼近能力，实现对建筑工程质量水平的评价。
On this basis, accomplishes the stage forecast for construction project quality evaluation based on the great nonlinear function approaching capability of the ANN.
采用模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using model as an approximation for nonlinear system, the nonlinear system has been fuzzified into local linear model.
分析了小波网络的性能，利用小波网络的非线性函数逼近能力，对非线性静态系统和非线性动态系统进行辨识。
The properties of the wavelet networks are analyzed. According to the approximation ability of wavelet networks, the nonlinear static system and the nonlinear dynamic system can be identified.
采用模糊动态模型逼近非线性混沌系统，将非线性混沌系统模糊化为局部线性模型。
By approximating the nonlinear chaotic system with a t s fuzzy model, the nonlinear chaotic system is fuzzed into a local linear model.
采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
应用第一多项式系列的线性组合构成的某连续函数的最佳逼近函数，具有一致逼近的性质。
The optimal approximation functions, of a continuous function which are constituted of the linear combination of series of Chebychev polynome have the characteristics of uniform approximation.
本文充分利用CMAC神经网络的非线性函数逼近功能，并结合电站数据采集和监测系统，提出一种校正电站测温传感器非线性输出特性的新方法。
This paper presents one new method of nonlinear calibration for temperature measurement sensors of power plant, which is based on CMAC neural network and data collecting and monitoring system.
模糊系统对非线性函数逼近能力的研究。
该控制策略充分利用了模糊逻辑对非线性的逼近性和神经控制自适应的特点。
The strategy made full use of the nonlinear approximation of fuzzy logic and the self-adaptability of neural control.
采用T_S模糊动态模型逼近非线性系统，将非线性系统模糊化为局部线性模型。
Using T_S model as an approximation for nonlinear system, the nonlinear system has been fuzzy into local linear model.
利用BP网络具有任意逼近非线性函数和内插值特性，提出一种实现常用热电阻阻值-温度变换的新方法。
Put forward a new approach which describe the relationship of resistance-temperature conversion for common thermo-resistance in terms of BP networks has the characteristic of non-linear.
另外，支撑矢量机多用户检测器的非线性特性可以比线性检测器更好地逼近最优检测器。
The nonlinear support vector machine multiuser detector can approach the optimum multiuser detector in a better way than the other linear detectors.
另外，支撑矢量机多用户检测器的非线性特性可以比线性检测器更好地逼近最优检测器。
The nonlinear support vector machine multiuser detector can approach the optimum multiuser detector in a better way than the other linear detectors.
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