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.
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.
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.
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.
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.
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.
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.
对几种快速BP算法的特点及性能作了归纳和对比，并对一个非线性函数逼近实例进行了仿真研究。
In this paper, the characteristic and performance of various fast BP algorithms are generalized and contrasted through study on simulation of nonlinear function approximation experiment.
本文先把问题转化为一个随机非线性规划问题，然后用逼近技术给出一个简单的求解方法。
We first formulate the problem as a stochastic nonlinear programming problem and then propose a new simple method for solving it via some approximation techniques.
根据模糊系统的逼近性质，非线性系统可以表示为线性参数化模型加上一建模误差项。
Based on the approximation property of fuzzy systems, a nonlinear system can be expressed as the form of linear parametric model and a modelling error term.
因此依然有很多场合需要使用无模型方法—如用模糊系统进行非线性函数逼近等。
So there has been a great deal of interest in applying model-free methods such as fuzzy systems for nonlinear function approximation.
给水泵组机械状态信号具有非平稳性和非线性，而支持向量机具有良好的非线性函数逼近和泛化能力。
The mechanical state signal of boiler feed pumps is nonstationary and nonlinear, and support vector machines has an excellent nonlinearity approximation ability and better generalization capability.
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.
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.
本文介绍了一种用五段折线逼近传感器非线性特性的开环补偿方法。
An opening loop compensation method to approach sensor's nonlinearity characteristic by using five straight-lines is introduced in this paper.
采用局部线性化方法，用T-S模糊线性模型逼近非线性系统。
The nonlinear plant is approximated by a Takagi-Sugeno fuzzy linear model using local linearization method.
该文详细介绍了采用线性化法和多项式逼近法求解非线性波浪力谱密度的过程。
The calculation of the spectral density of non-linear wave forces is presented in detail, based on linearized approach and polynomial-approximated approach, respectively.
模糊系统对非线性函数逼近能力的研究。
本文用递归神经网络逼近非线性ARMA模型预测电力短期负荷。
The recursive neural network based nonlinear approaching ARMA model is adopted for short-term power load prediction in this paper.
由于模糊系统可以作为任何非线性系统的万能逼近器，所以本文假定模糊控制可以应用到项目进度管理系统中。
This thesis makes the hypothesis that fuzzy control can also be applied to project scheduling management on the basis of fuzzy system being any nonlinear system's omnipotent simulator.
钢筋混凝土受压构件稳定性分析一直用迭代计算方法逐步逼近材料和几何非线性解。
Stabilty of reinforced concrete columa is usually analyzed with iteration. method to take into account of material and geometric nonlinearity.
钢筋混凝土受压构件稳定性分析一直用迭代计算方法逐步逼近材料和几何非线性解。
Stabilty of reinforced concrete columa is usually analyzed with iteration. method to take into account of material and geometric nonlinearity.
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