搜索资源列表
neurou.net
- 利用神经网络方法进行非线性函数拟合,并比较精度。-nonlinear function is fitted by neural net method， precision is compared
sample-rate-conversion
- 内容包括:解线性代数方程组,插值,数值积分,特殊函数,函数逼近,特征值问题,数据拟合,方程求根和非线性方程组求解-VB -Include: solving linear algebraic equations, interpolation, numerical integration, special functions, function approximation, eigenvalue problem, the data fit the equation and non-linear eq
C_language_algorithms_for_Quick_Lookup_Manual
- 《C语言算法速查手册》用C语言编写了科研和工程中最常用的166个算法，这些算法包括复数运算、多项式的计算、矩阵运算、线性代数方程组的求解、非线性方程与方程组的求解、代数插值法、数值积分法、常微分方程（组）初值问题的求解、拟合与逼近、特殊函数、极值问题、随机数产生与统计描述、查找、排序、数学变换与滤波等。同时结合这些算法列举了将近100个应用实例，对其进行验证和分析。 -" C language algorithms for Quick Fact Manual" using
BP1
- 案例2 BP神经网络的非线性系统建模-非线性函数拟合-The BP neural network of nonlinear system modeling-nonlinear function fitting
DACE-kriging
- kriging响应面模型，该程序可以进行函数的拟合，精度很高 -kriging model
nihe
- 这里讲述的是matlab的函数拟合问题，含有多个程序可提供给大家参考参考 -About matlab function fitting, containing a number of procedures are available to everyone REFERENCES
BP-1
- 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
BP-2
- 遗传算法优化BP神经网络-非线性函数拟合-Genetic algorithm to optimize BP neural network- non-linear function fitting
bp
- bp神经网络用于函数拟合，不用工具箱，源程序实现-BP Neural Network
genetic-alg-BP-nonlinear-fitting
- matlab智能算法遗传算法优化BP神经网络-非线性函数拟合-genetic algorithm BP neurotic net nonlinear fitting
Linear-Neural-Networks
- 这是一个线性神经网络的matlab代码，包括线性神经网络的创建、误差曲面的绘制、曲线的拟合、误差函数的构建等内容，对初学者帮助大-This is a linear neural network matlab code, including the creation of linear neural network, error surface rendering, curve fitting, etc. Construction of the error function, big help f
peakfit
- peakfit 是一种时间序列信号的命令行峰拟合程序，写在一个单独的文件的一个独立的MATLAB函数。-peakfit(signal,center,window,NumPeaks,peakshape,extra,NumTrials,start,autozero,fixedparameters,plots,bipolar,minwidth,DELTA,clipheight). A command-line peak fitting program for time-series signals,
pan_uh40
- BP神经网络用于函数拟合与模式识别，使用拉亚普诺夫指数的公式，重要参数的提取。- BP neural network function fitting and pattern recognition, Raya Punuo Fu index using the formula, Extract important parameters.
jvxgh
- BP神经网络用于函数拟合与模式识别，利用最小二乘算法实现对三维平面的拟合，包括轨道机动仿真、初轨计算。- BP neural network function fitting and pattern recognition, Least-squares algorithm to fit a three-dimensional plane, Including orbital maneuvering simulation, initial orbit calculation.
yanqoupan
- BP神经网络用于函数拟合与模式识别，基于K均值的PSO聚类算法,使用拉亚普诺夫指数的公式。- BP neural network function fitting and pattern recognition, K-means clustering algorithm based on the PSO, Raya Punuo Fu index using the formula.
iumer
- 利用最小二乘法进行拟合多元非线性方程，MinkowskiMethod算法 ,该函数用来计算任意函数的一阶偏导数(数值方法)。- Multivariate least squares fitting method of nonlinear equations, MinkowskiMethod algorithm, This function is used to calculate the arbitrary function of the first order partial derivati
nie_mv63
- BP神经网络用于函数拟合与模式识别，毕设内容，高光谱图像基本处理，信号维数的估计。- BP neural network function fitting and pattern recognition, Complete set content, basic hyperspectral image processing, Signal dimension estimates.
panlou-V5.1
- BP神经网络用于函数拟合与模式识别，有循环检测，周期性检测，包括调制，解调，信噪比计算。- BP neural network function fitting and pattern recognition, There are cycle detection, periodic testing, Includes the modulation, demodulation, signal to noise ratio calculation.
Desktop
- 由sin函数和sin函数平方竞争拟合了矩阵波函数,可以通过提高训练次数改变拟合效果(The matrix wave function is fitted by the square function of the sin function and the square of the sin function, and the fitting effect can be changed by increasing the training times)
vbemgmm
- 在混合高斯模型参数估计方法上有很多方法，例如最大似然函数的EM算法，但是该算法容易出现过拟合，故本文提出了一个变分EM的算法来对参数进行估计，可以避免EM算法中的不足。 下面的示例文件中说明了使用下面的示例文件说明了用法 examplevbem，VBEM M示例文件 faithful.txt数据集为例(The parameters of Gauss mixture model estimation method has a lot of methods, such as the maxim