本文用S型函数逼近模糊布尔函数。
We approximate the fuzzy Boolean function by the S-type function.
函数逼近论是现代数学的一个重要分支。
The approximation theory of functions is one of the important branches of modern mathematics.
函数逼近论在现代数学是一个重要的分支。
Approximation theory of functions is an important branch in modern mathematics.
该算法可以应用到函数逼近、图像处理等各方面。
This algorithm fits to the application of approximate the function, image procession and so on.
最后，应用函数逼近法获得载荷区内载荷分布方程。
Lastly, loading distributive equations were gained by the method of approximate function.
论述了基于正交多分辨分析理论的神经网的函数逼近。
This paper describes function approach of neural network based on the orthonormal multiresolution analysis theory.
首先选取产品样本，然后采用函数逼近方法建立评价模型。
It is to select product samples, then to use methods of function approximation and set up model.
研究了模糊推理神经网络计算模型及其连续函数逼近能力。
This paper deals with the computational model for fuzzy reasoning neural network and its function approximation capability.
目前，已被广泛应用于模式识别、函数逼近、数据挖掘等领域。
Presently it has been widely used in pattern recognition, function approximation and data mine etc.
介绍了一种曲线拟合和函数逼近的对数校直法及对数校直定理。
A new method of fitting curves and approximating functions - "logarithm alignment method" and "logarithm alignment theorem" are introduced in this paper.
本文从函数逼近的观点研究了边界配置法解的有效性及收敛性。
In the present paper the convergence and validity of the results of boundary collocation procedure are studied by considering function approximation.
它能以任意精度逼进任意连续函数，并且有最佳的函数逼近性能。
With local approximation characterize, it can approximate arbitrary continuous function with arbitrary precision.
投影定理在平稳时间序列的预报及函数逼近研究中起着重要的作用。
Theorem of projection is more important in the study of prediction of stationary discrete-time sequence and function approximating.
最后，利用径向基函数网络强大的函数逼近功能，识别内燃机气缸压力。
Finally, the cylinder pressure is identified by using radial base function (RBF) network, which is featured with the powerful functional approach.
器件与电路的模型是进行CAD的基础，建模在数学上实质是函数逼近问题。
Circuit and device modeling play the fundamental role in the CAD of electronic circuits.
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.
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.
构造一个光滑化函数逼近NCP函数，利用光滑化牛顿法求解此非光滑算子方程。
A smoothing function which can be approximated by NCP-function is given and the smoothing Newton method is applied to resolve this nonsmooth operator equation.
函数逼近应用实例结果表明，将有理式多层神经网络用于解决传统问题是有效的。
Experiment result illustrates the effectiveness of the rational fraction multiplayer feed forward neural networks in solving traditional problems.
目前，支持向量机在模式识别、函数逼近、数据挖掘和文本自动分类中均有很好的应用。
Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.
结论反向传播网络在函数逼近方面差的原因是激励函数的全局性、隐层结点数目的不确定性。
Conclusion Because of the inspirit function's globaling and the number of the Hidden Layer'node uncertainty the BPNN was not done well.
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.
支撑矢量机是一种普适的算法，已经广泛地用于模式识别、回归估计、函数逼近、密度估计等方面。
SVM is a kind of general learning algorithms, which has been widely used in pattern recognition, regression estimation, function approximation, density estimation, etc.
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.
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.
近年来，各类模糊系统已被证明是万能函数逼近器，它们能实现任意的非线性连续控制规律和动态模型。
In recent years, fuzzy systems have been proved to be universal function approximators, which means they can realize any nonlinear continuous control laws and dynamic models.
在探索单尺度径向小波框架与径向基函数网络对函数逼近特性相似的基础上，构造了单尺度径向基小波网络。
Based on the single scaling wavelet frame theory and radial basis function neural network, a multi dimensional input and output wavelet network is constructed.
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.
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.
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