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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
svm
- 支持向量机模型用于预测分析效果显著，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 model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
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
chapter2
- BP神经网络关于非线性函数拟合的问题，表述了如何写其代码-BP neural network on non-linear function fitting problems, a presentation on how to write their code
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
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