pde1

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)

大家好，这是一个遗传算法，是用matlab工具的。(GA matlab )

Introduction to Strategies for Optical Networks

实现由matlab中数据先传入txt，再传入access数据库的函数。(First incoming txt, incoming access database functions by matlab data.)

说明：  用于matlab用牛顿迭代法解方程，这个在数值计算中是很重要的(Matlab by Newton' s iterative method for solving equations, this in numerical calculation is very important to)

图像处理中经典的PCA算法，几乎每一步的降维之前都要用到 实用性很强(PCA classical image processing algorithms, almost every step of dimension reduction should be used in very practical before)

利用遗传算法来进行一个cybershake科学工作流的开发！(a GA based algorithm for cybershake workflow scheduling!!)

说明：  使用PSO优化SVR支持向量机模型的代码，有详细的输出及输出，以及代码说明(Use PSO to optimize SVR support vector machine model code, with detailed output and output, as well as code description)

在陀螺仪测试中，实现ALLAN方差法分析动态数据，得到五个主要参数(Gyroscope test to achieve the the ALLAN variance analysis of dynamic data, five main parameters)

图像常用颜色空间相互转换matlab源码(Images used matlab source color space conversion)