Independent-component-analysis

这是神经模糊网络中的D-FNN，极其所用到的函数程序。(This is a neuro-fuzzy network in the D-FNN, most of the procedures used in the function.)

说明：  bp神经网络用于回归的matlab程序，修改数值就可适用(bp neural network for regression matlab procedures can modify the application of numerical)

利用Contourlet、ICA、混沌粒子群分离去噪(Using Contourlet, ICA, separation of chaotic particle swarm denoising)

双馈电机仿真模型，很详细，作为初学者非常适合(DFIG simulation model, not much wind, we hope more exchanges)

Vessel Segmentation in MRI fundus images(Medical Image processing Bio Medical). Vessel Segmentation in MRI fundus images(Medical Image processing Bio Medical). Vessel Segmentation in MRI fundus images(Medical Image processing Bio Medical). Vessel Segmentation in MRI fundus images(Medical Image processing Bio Medical). Vessel Segmentation in MRI fundus images(Medical Image processing Bio Medical). Vessel Segmentation in MRI fundus images(Medical Image processing Bio Medical).

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

利用MATLAB编写蚁群算法求解城市最佳路线的一个例子(Ant colony algorithm for an example of the city the best route)

对于一个动态系统dy/dt=-y(t)+x(t-m),m为一个时间滞后常量，x(t)、y(t)都是关于时间 t的函数，其中x是一个正态分布的数据集合，可随机产生，这样情况下，如何将系统情况 用样本点表示出来 (for a dynamic system dy/dt =- y (t) x (t-m), m for a time lag constants, x (t), y (t) are on the function of time t, where x is a normal distribution of data sets can be randomly generated, under these circumstances, how the system of sample points out)

电力系统暂态稳定程序，可以进行暂态稳定计算,是学习PCA特征提取的很好的学习资料，pwm整流器的建模仿真。( Power System Transient Stability Program, can be transient stability, Is a good learning materials to learn PCA feature extraction, Modeling and simulation pwm rectifie.)

最佳ML和最佳MAP的matlab仿真的性能分析和比较(MAP, ML and best best matlab simulation performance analysis and comparison)