搜索资源列表
BP-moshi
- BP神经网络用于函数拟合与模式识别的Matlab示例程序,说明很详细,并且代码可以直接拿来用-BP neural network for function fitting and pattern recognition procedures Matlab examples to illustrate in great detail, and the code can be directly used by
lwr
- 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程 -Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For wei
RBF
- 用RBF神经网络，完成对y=f(x)的曲线拟合。-Using RBF neural networks, complete the y = f (x) the curve fitting.
bp
- 很好的bp神经网络预测模型，很好有，有结果的拟合等-Good bp neural network prediction model, there is very good, the results of the fitting, etc.
ga_bp
- 基于gaot工具箱优化BP以实现数据拟合。在nninit.m中修改数据存储的路径以及隐含层节点数的设置（S1），遗传算法与bp的参数修改在ga_bp.m中进行。-Toolbox gaot Optimize based on BP in order to achieve data fitting. At nninit.m modify the path of data storage as well as the hidden layer nodes of the set (S1), geneti
NeuralNetwork_BP_Classification
- BP 神经网络用于模式分类 大型网络的首选算法 - 函数拟合,模式识别-BP neural network for pattern classification algorithm of choice for large networks- function fitting, pattern recognition
bpneuralnetworksandthestudyofcurve
- 网上的大部分BP实现曲线拟合都使用MATLAB库函数，这不利于读者理解BP神经网络的算法。本文用C源码实现MATLAB库函数.-BP to achieve most of the Internet curve fitting using MATLAB library function, this does not help readers understand the BP neural network algorithm. In this paper, the realization of C
JLinkage
- J-linkage 算法，可以用于多体拟合的一种策略，优于Multi-ransac-This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual data representation. Each poin
SVM_luzhenbo
- 四种支持向量机用于函数拟合与模式识别的Matlab示例程序，很全面-Four support vector machines for pattern recognition function fitting with Matlab example program, it is a comprehensive
BPdatafitting
- 用BP神经网络做数据拟合的Matlab源码-Neural Network Data Fitting Matlab
BPmatlab
- 神经网络应用于数据拟合，比传统的样条插值方法精度要高，有实验结果。-Neural network used in data fitting than the traditional method of spline interpolation accuracy is higher, with experimental results.
case2
- BP神经网络的非线性系统建模-非线性函数拟合-BP neural network for nonlinear system modeling- nonlinear function fitting
BP-matlab
- 利用BP神经网络拟合函数的matlab程序代码-BP neural network using matlab code fitting functions
BP-netual-networks
- BP神经网络的非线性函数拟合 用Matlab实现非线性函数的拟合y=x1^2+x2^2-BP neural network using Matlab achieve non-linear function fitting nonlinear function fitting y = x1 ^ 2+ x2 ^ 2
BP_-nonlinear-fitting-algorithm
- 根据BP神经网络理论，用matlab软件编程实现基于BP神经网络的非线性拟合算法-According to the BP neural network theory, nonlinear fitting algorithm based on BP neural network by matlab program
matlab
- matlab神经网络，用于数据拟合及数据模拟预测-matlab neural network for data fitting and data simulation and prediction
matlab
- BP神经网络进行一个函数拟合，此函数算是研究算法性能的常见的函数之一，图像非常有特点-BP neural network is a function fitting this function is regarded as one of the common functions of the studies the performance of the algorithm, the image is very characteristic,
ann2w
- matlab的BP神经网络的非线性函数拟合代码-nonlinear function of BP neural network matlab fitting Code
matlab
- 本章将主要介绍思维进化算法的基本思想，并结合非线性函数拟合实际案例，在MATLAB环境下实现思维进化算法。-This chapter will mainly introduce the basic idea of mind evolutionary algorithm, and combining with the case, the nonlinear function fitting implement mind evolutionary algorithm in MATLAB enviro
《MATLAB 神经网络43个案例分析》源代码&数据
- 《MATLAB 神经网络43个案例分析》全书源代码和数据，注释详细，神经网络学习很有帮助。内含《MATLAB 神经网络43个案例分析》目录:第1章BP神经网络的数据分类语音特征信号分类;第2章 BP神经网络的非线性系统建模-非线性函数拟合等。(Analysis of 43 Cases of Neural Network in MATLAB source code data, detailed comments. Included in the catalogue of 43 Cases Anal