函数逼近

这三部分均由BP网络构成，使用函数逼近的方法，来控制分解炉的温度变化。

All three parts use BP networks . Temperature changes Control with Function approximation methods .

地震数据处理中基于RBF网络的函数逼近

Function Approximation Based on Radial Basis Networks in Seismic Data Processing

利用BP神经网络实现函数逼近

Realization of Function Approximation by Using BP Feed-Forward Neural Network

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 .

小车采用加强学习（Qlearning），采用神经网络对Q函数逼近。

Car used to enhance learning ( Q learning ), using neural network Q function approximation .

BP网络和RBF网络在函数逼近领域内的比较研究

A Comparative Study on BP Network and RBF Network in Function Approximation

对于这些算法来说，无论是用lookup表的形式，还是用函数逼近器的形式，对所有状态的值函数都必须要全部记忆。

Using those methods , the system must remember all of value functions of states whether look-up tables or function approximators are applied .

一种基于傅里叶变换的RBF神经网络函数逼近方法

A RBF Neural Network Based on Fourier Transformation for Function Approximation

同时给出了模糊推理神经网络与传统BP神经网络的连续函数逼近等价定理，即任何一个传统的BP网络都存在某个模糊推理神经网络以给定的精度逼近它；

It proposes the equivalence theorem of continuous function between fuzzy reasoning neural network and traditional BP neural network .

RBF网络做函数逼近的改进研究

Research on Approximation of Function by Improved RBF Networks

函数逼近中的Newton和Lagrange插值多项式

Newton and Lagrange Interpolation Polynomial in Approximation of Function

本文根据BP神经网络的函数逼近功能，针对文档特征项在文档中的权重，提出了一种基于BP神经网络的网络计算模型。

This paper presents a calculation model based on BP neural net to account the weight of a feature item in a document .

为了提高优化迭代的计算速度，运用BP神经网络对不完全Beta变换进行函数逼近。

To improve the optimization iterative epoch , a BP neural net-work are trained to approximate the incomplete beta transformation function .

讨论Taylor多项式与Newton插值多项式在函数逼近中的区别和联系。

This paper discusses differences and relations between Taylor Polynomial and Newton interpolation polynomial in approximation of function .

基于约束Jacobi基的多项式反函数逼近及应用

Inversion Approximation for Polynomials by the Constrained Jacobi Basis and its Application

SVM在很多领域都得到了成功的应用，如模式识别、回归估计、函数逼近等。

SVM has successful applications in many fields , such as pattern recognition , regression estimation , function approaching and so on .

扩展的Hermite算子与无界函数逼近

Extensional Hermite operator and approximation of unbounded function

近年来也有很多研究学者将其应用于非线性系统辨识，由于BP网络较强的函数逼近能力，所以将其应用于非线性系统辨识取得了良好的效果。

Recently many researchers have applied it to nonlinear system identification , and utilize the function approach capacity of BP neural network for nonlinear system identification , attained excellent effect .

利用张量积构造正则空间，用于场函数逼近，得到MLS（movingleastsquares）场函数插值形式的一个特例。

Normalized space constructed by tensor product was used in field function approach to give a special case of moving least squares ( MLS ) interpolation scheme .

Landau多项式算子与无界函数逼近

Landau polynomial operators and approximation of unbounded functions

仿真实例表明：这种模型对动态范围较大的多峰函数逼近问题较经典的BP模型优越得多，为解决复杂函数逼近问题提供了一条有效的途径。

The simulation example showed that the model outperformed to solve the multi-peak function approximation problem over the convention BP model and supplied an efficient tool for the complicated functions approximation problems .

BP神经网络在函数逼近、模式识别、分类和数据压缩、数据挖掘、语音识别、文本/语言转换以及图像处理等方面有非常广泛的运用。

BP neural network is widely used in function approximation , pattern recognition , classification & data compression , data mining , speech recognition , text / language translation and image processing .

采用BP算法训练网络，对小麦产量和施肥用量之间的映射关系进行了函数逼近，建立了土壤施肥神经网络模型。

The artificial neural network is trained through adoption of BP algorithm . The map relationship between wheat yield and dosage of fertilizer is approached , and the soil fertilizer model is established .

改进后的算法用于XOR问题的学习及函数逼近问题。

The improved algorithm is applied to the learning of the XOR question and function approximation question .

在利用T-S模糊模型对未知函数逼近的基础上，针对一类含未知非线性函数和外界干扰的复杂系统，设计一种直接鲁棒自适应模糊控制器。

A direct robust adaptive fuzzy control algorithm is presented for a class of chaotic systems with unknown nonlinear terms and external disturbances .

基于切比雪夫函数逼近方法，设计了一种无限冲激响应（IIR）数字滤波器来实时地对海浪噪声进行滤波。

An Infinite Impulse Response ( IIR ) digital filter is designed easily and economically based on Chebyshev function to filter the wave disturbance real time .

本文在分形函数逼近系统中引入基数B样条小波尺度函数，提出基于小波的分形函数逼近算法，该算法可充分利用尺度函数和分形函数在多尺度和多分辨性上的一致性。

This paper introduces the B spline wavelet scaling function into fractal function approximation system and proposes a fractal function approximation algorithm based on wavelets . The algorithm fully exploits the consistency between the fractal and scaling functions in multi scale and multi resolution .

BP算法现在已成为目前应用最广泛的神经网络学习算法，它在函数逼近、模式识别、分类、数据压缩等领域有着更加广泛的应用，但存在收敛较慢问题。

The BP ( back propagation ) algorithm is a neural network learning algorithm , it is applied extensively in function approximation , mode distinguishing , classification , data compression et , but it has a question of convergence .

典型的模式识别和函数逼近问题验证了算法的有效性和优越性。（6）将本文提出的SOA应用于IIR数字滤波器优化设计。

The benchmark problems from pattern classification and function approximation were used to evaluate the new algorithm . ( 6 ) A SOA-based evolutionary method is proposed for digital IIR filter design .

利用MATLAB中的神经网络工具箱对得到数据进行函数逼近，得到一个经过训练的神经网络，利用训练好的神经网络，对影响垂直振动物料输送生产率的参数进行优化。

Taking advantage of Neural Network Toolbox in MATLAB we can do the function approximation of the data , and get a trained neural network , optimize the parameters that can impact the productivity of vertical vibration material conveying .