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- 采用贝叶斯正则化算法提高BP网络的推广能力。在本例中，将采用两种训练方法，即L-M优化算法（trainlm)和贝叶斯正则化算法（trainbr),用以训练BP网络，使其能够拟合某一附加有白噪声的正弦样本数据。-The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two types of training methods will b
bp
- 用matlab编的BP算法－－函数拟合，用来逼近一个SIN函数-Part of the BP algorithm using matlab- function approximation is used to approximate a SIN function
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
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
MATLAB_toolbox
- matlab所有的工具箱，包括统计工具箱、拟合工具箱、微分方程工具箱、遗传算法工具箱、模拟退火工具箱、优化工具箱。随机数工具箱、等等。很全面-All matlab toolbox, including statistical toolbox, fitting toolbox, toolbox differential equations, genetic algorithm toolbox, simulated annealing Toolbox, Optimization Toolbox. R
GA_fitting
- 此代码是本人写的用遗传算法拟合MIMO系统TF模型参数，通过例子说明算法的有效性。-This code is written, I fit MIMO systems using genetic algorithms TF model parameters, through the examples of the algorithm.
TimeSeriesPredictionUsingSupportVectorRegressionNe
- 为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生 成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很 好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN 应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的 理论和应用价值。-Ab
Genetic_algorithm_to_optimize_the_BP_neural_networ
- 根据遗传算法和BP神经网络理论，在MATLAB软件中编程实现基于遗传算法优化的BP神经网络非线性系统拟合算法。-Based on genetic algorithm and BP neural network, software, programming in MATLAB genetic algorithm based on BP neural network fitting algorithm of nonlinear systems.
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
- 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,
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
genetic-algorithm
- 根据遗传算法和BP神经网络理论，在matlab软件中编程实现基于遗传算法优化的BP神经网络非线性系统拟合算法。-According to the theory of genetic algorithm and BP neural network, in the matlab software programming to realize BP neural network nonlinear systems based on genetic algorithm optimization fitt
遗传算法优化BP神经网络——非线性函数拟合
- 遗传算法优化 BP 神经网络分为 BP 神经网络结构确定、遗传算法优化和 BP 神经网络预 测 3 个部分。 BP 神经网络预测用遗传算法得到最优个体对网络初始权值和阔值赋值，网络经训练后预测函数输出。(Genetic algorithm optimization BP neural network is divided into 3 parts: BP neural network structure determination, genetic algorithm optimization
nn-glyunshu
- 以一道例题说明神经网络拟合算法的MATLAB程序代码(To illustrate an example of neural network fitting algorithm MATLAB program code)
遗传算法改进的神经网络程序
- 自己整理网上的遗传算法改进的神经网络，matlab实现，主要应用于数据函数逼近拟合，网上的一般无法运行。这个可以运行。(The neural network improved by the genetic algorithm on the Internet, matlab implementation, mainly applied to the data function approximation fitting, the network is generally unable to run
BP拟合
- matlab图形怎么中文说明要这么多，不就是个拟合的算法简单应用(matlab Matlab graphics how Chinese instructions so much, is not a fitting algorithm, simple application.)
DE
- 差分进化算法 可以通过该算法进行参数的寻优化，并结合其他建模算法对参数进行拟合(The differential evolution algorithm can be used to optimize the parameters and to fit the parameters with other modeling algorithms)