pso

PFCM clustering algorithm

2016年中国图像图形学报 求质心的快速算法 免滤波 直接可以求得质心的位置 附带 matlab源代码！！(In 2016 the Chinese image and graphics Journal of the fast algorithm for the centroid of the fast algorithm can be obtained directly the center of the location of the matlab source code!!)

用ADI方法解决heston模型 以European vanilla call 为例子 详细解决了海森模型的定价问题 具有极高的价值

一个基于jakes模型的瑞利衰弱频道的matlab程序，很好用。(A jakes model based on Rayleigh fading channel C++ program, easy to use.)

BOC信号的捕获 包括各种无模糊捕获方法以及其性能比较(BOC signal capture, there is no fuzzy capture methods of simulation and performance comparison)

YALMIP工具箱，内含各种函数，可用来求解部分线性规划，非线性规划，及混合规划的matlab工具箱。(YALMIP toolbox, containing a variety of functions that can be used to solve part of the linear programming, nonlinear programming, and mixed planning matlab toolbox.)

Garbor filter is famous for its approximation to the characteristic of Cortex in human vision system. The state-of-the-arts advancement in computer vision application demonstrates the success and promissing of this technique. This directory contains the codes for Gabor filtering and texture feature extraction. The strategy of constructing the Gabor filter bank is based on the accompanied paper included in the subdirectory.(Garbor filter is famous for its approximation to the characteristic of Cortex in human vision system. The state-of-the-arts advancement in computer vision applicationdemonstrates the success and promissing of this technique.This directory contains the codes for Gabor filtering and texture feature extraction . The strategy of constructing the Gabor filter bank is based on the accompanied paperincluded in the subdirectory.)

AR模型估计的levinson算法和burg算法程序(AR model estimation algorithm levinson algorithm and procedures burg)

This program calibrates the Ornstein–Uhlenbeck process, a mean reverting AR(1) stochastic process. The parameters are estimated using (1)Least Squares fitting and (2)Maximum Likelihood estimation.

Bidirectional extreme learning machine - B-ELM Y. Yang, Y. Wang, and X. Yuan, "Bidirectional extreme learning machine for regression problem and its learning effectiveness," IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, pp. 1498 - 1505, 2012