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
fermiumfunctionfitting
- 费米函数的拟合算法，根据所给的点来确定费米方程的个参数情况，图像处理时能给出相应的拟合图形的参数-Fermi function fitting algorithm, according to the given point to determine the Fermi equation parameters, the image processing can give the corresponding fitting parameters for graphics
CurveFit
- 本软件解决了非线性曲线拟合的初始值问题，不再需要输入初始值，只要定义函数模型及输入拟合数据即可求出函数的系数值。-This software solved the nonlinear curve fitting of the initial value problem, no longer need to enter the initial value, as long as the definition of function model and input data can be obtai
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 algebra knowledge, find out the
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 boundary conditions, spline fitti
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)
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-非线性函数拟合遗传算法优化BP神经网络-非线性函数拟合遗传算法优化BP神经网络-非线性函数拟合遗传算法优化BP神经网络-非线性函数拟合
遗传算法优化BP神经网络-非线性函数拟合
- 遗传算法优化BP神经网络-非线性函数拟合！非常好的算法
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, curve fitting, Lagrange inte
阶跃函数拟合函数(matlab)
- 阶跃函数拟合函数(matlab)拟合离散的数据点，采用放大和平移阶跃拟合