搜索资源列表
BPNeuralNetwork
- BP神经网络（主要用于函数拟合与模式分类）Matlab的示例程序-BP neural network (the main function for the fitting and pattern classification) Matlab sample program
RBFNeuralNetwork
- RBF模拟神经网络（主要用于函数拟合与模式分类）Matlab的示例程序-RBF simulated neural network (the main function for the fitting and pattern classification) Matlab sample program
3次B样条曲线拟合
- 离散点曲线 进行3次B样条曲线拟合 包括节点参数化过程 基函数计算过程 控制点反求过程 到最后拟合曲线的显示(The discrete point curve is fitted with 3 B spline curves, including the node parameterization process, the basis function calculation process, the control point in
执行成功
- 三维空间函数拟合算法 已知xyz坐标在MATLAB中绘图(Three dimensional space function fitting algorithm The known XYZ coordinates are drawn in MATLAB)
第6讲 用MATLAB进行数据拟合
- 数据拟合，入门 数据拟合是一个数学函数，在MATLAB的NAG Foundation Toolbox中也有一些曲面拟合函数，如e02daf是最小二乘平方曲面拟合函数，e02def可求出曲面拟合的函数值(Data fitting is a mathematical function, in MATLAB NAG Foundation Toolbox, there are also some surface fitting functio
POLYFIT
- 自己写的一个函数拟合的算法函数，利用了最小二乘法可以拟合相关函数(Write a function fitting algorithm function, the use of the least squares method can fit the correlation function)
案例3 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-对非线性函数拟合.(Genetic algorithm optimization BP neural network - nonlinear function fitting)
曲线拟合
- 曲线拟合：通过给定的一组二维坐标点，利用线性代数中矩阵求逆的知识，从这些数据中找出规律性，预测原函数f（x)的表达式，以消除所给数据的局部波动。一次拟合出来的函数图像是直线，二次拟合出来的图像是抛物线。两者相比，二次拟合逼近程度更高。(curve fitting through a given set of two-dimensional coordinates, using the inverse matrix in linear a
BP Neural Network
- BP神经网络的非线性系统建模-非线性函数拟合(Nonlinear system modeling based on BP neural network)
基于BP神经网络的函数拟合与模式识别的Matlab程序
- 基于BP神经网络的函数拟合与模式识别的matlai代码(Function Fitting and Pattern Recognition Based on BP Neural Network)
案例3 遗传算法优化BP神经网络-非线性函数拟合
- 直接可用的matlab代码，用神经网络解决非线性函数拟合问题(Direct available matlab code to solve nonlinear function fitting problem by neural network)
RBF拟合
- 用径向基神经网络拟合一个函数关系。熟悉用神经网络完成拟合的过程(Fitting a function relationship with RBF neural network)
思维进化算法优化BP神经网络——非线性函数拟合
- 思维进化算法优化BP神经网络——非线性函数拟合，有源程序和数据(BP Neural Network Optimized by Mind Evolutionary Algorithm - Nonlinear Function Fitting)
拟合
- 多个函数的曲线拟合，里面统计有最小二乘、非线性回归(Curve fitting for multiple functions)
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- RBF 神经网络用于函数拟合，便于进一步的rbf分析建模，高斯基函数的求取(RBF neural network is used for function fitting to facilitate further RBF analysis modeling and gauss function.)
数据拟合
- 数据拟合：一元函数插值、样条插值、多项式插值或拟合、曲线拟合、各种边界条件的样条插值、样条拟合、二元函数插值、拉格朗日插值法(Data fitting: interpolation of unary functions, spline interpolation, polynomial interpolation or fitting, curve fitting, spline interpolation of various bou
曲线拟合
- 找出一大串数据，用一个函数进行逼近，或者拟合。使其误差尽可能小(Find a bunch of data, approximate it with a function, or fit it.Make the error as small as possible)
matlab最小二乘法曲面拟合
- matlab最小二乘法曲面拟合程序可以得到函数具体解析式(Matlab least squares surface fitting program can get the specific analytic expression of the function)
多项式和非多项式曲线拟合
- 多项式拟合在matlab中可以使用ployfit函数求解多项式系数，通过ployval函数求解拟合多项式在某数据点处的值(Polynomial and Non-polynomial Curve Fitting)
数据拟合
- 利用MATLAB进行数据拟合，常见的数据拟合方法。包括：一元函数插值、样条插值、多项式插值或拟合 、曲线拟合、拉格朗日插值法等。(MATLAB data fitting, common data fitting methods. It includes: interpolation of unitary function, spline interpolation, polynomial interpolation or fitting