求解非线性代数方程组的有效方法 Newton-Raphson

ica的算法，独立成分分析，剔除噪声，数据处理(ica algorithm, independent component analysis, eliminate noise, data processing)

设r是f(x) = 0的根，选取x0作为r初始近似值，过点（x0,f(x0)）做曲线y = f(x)的切线L，L的方程为y = f(x0)+f (x0)(x-x0)，求出L与x轴交点的横坐标 x1 = x0-f(x0)/f (x0)，称x1为r的一次近似值。过点（x1,f(x1)）做曲线y = f(x)的切线，并求该切线与x轴交点的横坐标 x2 = x1-f(x1)/f (x1)，称x2为r的二次近似值。重复以上过程，得r的近似值序列，其中x(n+1)=x(n)－f(x(n))/f (x(n))，称为r的n+1次近似值(Let r is f (x) = 0 root, select the initial approximation x0 as the r, over point (x0, f (x0)) to do the curve y = f (x) the tangent L, L the equation y = f ( x0)+ f ' (x0) (x-x0), find the intersection of L and the x-axis of abscissa x1 = x0-f (x0)/f' (x0), x1 is called an approximation r. Through points (x1, f (x1)) to do the curve y = f (x) the tangent, and find the intersection of the tangent with the x-axis of abscissa x2 = x1-f (x1)/f ' (x1), x2 is called r the second approximation. Repeat the process, get an approximation of the sequence r, where x (n+1) = x (n)-f (x (n))/f ' (x (n)), as an approximation of r n+1 times)

adaboost的訓練data的方法，並利用在matlab上幫助使用者可以快速的訓練data。 (adaboost method of training data, and help users to quickly take advantage of training data on matlab.)

混沌时间序列预测(chaotic time series prediction)中的Volterra级数一步预测 、Volterra级数多步预测方法(Prediction of chaotic time series (chaotic time series prediction) in the prediction step Volterra series, Volterra series multi-step prediction method)

维Logistic映射 x(n+1)=μx(n)(1-x(n)) 在3. 57 <μ < 4 的参数区域内,系统存在混沌吸引子 (Dimensional Logistic map x (n+1) = μx (n) (1-x (n)) in 3. 57 < μ < 4 parameters in the region, the systems Chaotic attractor)

matlab关于神经网络的经典案例分析，很不错的东东，对于研究神经网络很有帮助(Classic case analysis on neural networks matlab, a very good Dongdong, very helpful for the study of neural network)

利用K近邻法实现数字识别算法。误差小，识别效率高，网络训练速度快。(K-nearest neighbor algorithm, digital identification algorithm. Error is small, high recognition efficiency and speed of network training.)

使用Matlab R2009b进行数字音频压缩处理编程(Using Matlab R2009b compressed digital audio programming)

基于PCA算法的matlab源代码，适合初学者，可以快速学习PCA方法(Based on PCA algorithm matlab source code, suitable for beginners, you can quickly learn PCA methods)

一个用matlab编写的实现主元分析的功能的源程序(pca)