pls_t2_sep

用遗传算法优化参数的递归T-S模糊神经网络学习算法，值得一看。(Parameter optimization using genetic algorithm recursive TS fuzzy neural network learning algorithm, worth a visit.)

说明：  详细阐述了在ＭＡＴＬＡＢ平台构造m序列的原理，有相关性评估与良好的界面(Detailed structure in the MATLAB platform sequence m principle, assessment of relevance and good interface)

Erlang B,is a modeling formula that is widely used in call center scheduling, implementation in matlab

增量谐波平衡方法(IHB)是一种有效的定量分析方法，既适用于分析弱非线性振动系统，也适用于分析强非线性振动系统，并且可以提高周期解的精度(Incremental harmonic balance method (IHB) is an effective method for quantitative analysis, both for the analysis of weakly nonlinear vibration system, also suitable for the analysis strongly nonlinear vibration system, and can improve the accuracy of Periodic Solution)

Catastrophe theory book

C表示 n个城市的坐标，为n×2的矩阵 NC_max为最大迭代次数 m表示蚂蚁个数 Alpha 表征信息素重要程度的参数 Beta 表征启发式因子重要程度的参数 Rho 信息素蒸发系数 Q 信息素增加强度系数 R_best 各代最佳路线 L_best 各代最佳路线的长度(C indicated that the coordinates of n cities, in order to n × 2 matrix NC_max maximum number of iterations m, said the number of Alpha characterization of ant pheromones importance of the parameters of Beta characterization of the parameters of heuristic importance of Rho factor pheromone pheromone evaporation coefficient Q increase the strength factor R_best generations of the best route L_best the length of each generation of the best route)

说明：  一个MATLAB实现模糊神经网络的程序，希望对大家有帮助(A MATLAB procedure of fuzzy neural network, we want to help)

说明：  基于matlab的边缘检测程序，成功实现了奥运开幕式图片的边缘检测，matlab6环境运行成功。(Matlab-based edge detection procedures, the successful implementation of the Olympic opening ceremony, the edge detection image, matlab6 environment running successfully.)

使用最小二乘法对任意位置的椭圆进行数据拟合的程序，使用全部的边缘点集。(Anywhere using the least squares method for data fitting ellipse, the use of all of the edge point set.)

这个函数读取各个比特的信息处理器和操作 系统，包括： *中央处理器的名字 *时钟速度 *处理器缓存的大小（二级） *号的物理处理器核心 *操作系统名称和版本 这是由程序/处理器（系统），sysctl（苹果）或命令行工具（窗口）。 需要在r2010a或以上。(This function reads various bits of information about the CPU and operating system, including: * CPU name * CPU clock speed * CPU Cache size (L2) * Number of physical CPU cores * Operating system name & version These are provided by /proc/cpu (Unix), sysctl (Mac) or WMIC (Windows). Requires MATLAB R2010a or above.)