搜索资源列表
nonlinear-function-fitting-BP
- MATLAB工具箱编写BP神经网络的非线性系统用于非线性函数拟合-Written MATLAB toolbox for nonlinear systems BP neural network for nonlinear function fitting
ggd
- 一种广义高斯分布的参数快速估计法,实现GGD函数拟合-The parameters of a generalized Gaussian distribution fast estimation method to achieve function fitting GGD
L-Msuanfa
- matlab实现的L-M算法的函数拟合，可以用了进行函数的拟合-matlab implementation of the LM function fitting algorithm can be used for the fitting function
tongjituiduan
- 统计推断实验程序，用模拟退火算法寻找大量数据的最佳函数拟合-Statistical inference test procedure, using simulated annealing algorithm to find the best function fitting large amounts of data
rank_corr
- 利用数据拟合概率密度函数 建立可靠度分析所需的概率分布函数-There is one outlier in the data of , but is not of data .For and the line of Q2 is in the middle of the box, so there are not asymmetries for both and .
SVM-code
- SVM是分类器对于它的准确性还有过拟合性都有很成熟的改进 关于SVM函数拟合 -SVM is a classifier for its accuracy still has a very mature over-fitting of improved function fitting on SVM
Example3
- BP神经网络用于函数拟合，涉及归一化、反归一化、详细的训练参数介绍及设置；-BP neural network used for function fitting, involving normalization, anti-normalization, detailed descr iption and set of training parameters
2
- 用matlab神经网络实现非线性函数拟合-Matlab neural network with non-linear function fitting
LS-SVMLab-v1.7(R2006a-R2009a)
- 支持向量机SVM(Support Vector Machine)它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support Vector Machine SVM (Support Vector Machine) it addresses the small sample, nonlinear and high dimensional pattern recognition performance of many unique adva
NURBS
- 非均匀有理B样条（NURBS）曲线曲面造型的主要算法函数源码-Non-uniform rational B-spline (NURBS) curve and surface modeling functions of the main algorithm source code
nonlinear-systems
- BP神经网络的非线性系统建模-非线性函数拟合-BP neural network modeling of nonlinear systems- non-linear function fitting
nonlinear-function-fitting
- 遗传算法优化BP神经网络-非线性函数拟合-BP neural network genetic algorithm- nonlinear function fitting
bp-regression
- BP神经网络的非线性系统建模-非线性函数拟合-bp regression
LFM
- 针对传统线性调频(LFM)信号参数估计算法中复杂的搜索和计算问题，提出了一种不需要参数搜索的快速 LFM信号参数估计算法。该算法先用希尔伯特变换估计LFM信号瞬时相位，再用二次相位函数拟合LFM信号瞬 时相位从而得到初始频率和调频斜率的估计-The traditional linear frequency modulation (LFM) signal parameter estimation algorithms and computational complexity of th
SVM
- 支撑向量机它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中。-Support vector machine to solve it in a small sample, nonlinear and high dimensional pattern recognition performance of the many unique advantages, and to promote the use of the function fitt
Genetic-algorithm
- 本程序使用遗传算法优化BP神经网络来进行非线性函数拟合-This program uses genetic algorithms to optimize the BP neural network for nonlinear function fitting
bp
- 用bp神经网络和rbf神经网络进行函数拟合-matlab function use bp and rbf neural network for function fitting
Non-linear-function-fitting
- 非线性函数拟合——利用遗传算法来优化BP神经网络，利用神经网络开发包实现图形化的神经网络模拟，使得神经网络原理更直观，可用于教学，也可用于实际神经网络训练，内附详细帮助文件。-Non-linear function fitting- using genetic algorithms to optimize the BP neural network, neural network development package to implement graphical neural network
NeuralNetwork_RBF
- RBF 神经网络用于模式分类 RBF 神经网络用于函数拟合 -RBF neural network for pattern classification RBF neural network for function fitting
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