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svm_nu 分类源码 用于svm的分类编程同svm_c 相近(svm classification svm_nu source for the classification of programming with similar svm_c)

Tools for NIfTI (ANALYZE) MR image Matlab实现NIfTI(ANALYZE)核磁共振图像读取保存制作 这个Matlab程序包用于处理核磁共振图像，可以读取显示、保存、制作该图像。(Tools for NIfTI (ANALYZE) MR image Matlab implementation NIfTI (ANALYZE) MR image read save making the Matlab package for processing magnetic resonance images, you can read the display, storage, production of the image.)

A simple code for transform wavelet decomposition

A fast and simple voxel traversal algorithm through a 3D space partition (uniform grid)

The file introduces a modelling for the photovoltaic array panel.

说明：  MATLAB实例，对学习有用,MATLAB实例，对学习有用MATLAB实例，对学习有用MATLAB实例，对学习有用(MATLAB is good for you,thank.MATLAB is good for you,thank.MATLAB is good for you,thank.)

人工鱼群算法是李晓磊等人于2002年在动物群体智能行为研究的基础上提出的一种新型方盛优化算法，该算法根据水域中鱼生存数目最多的地方就是本水域中富含营养物质最多的地方这一特点来模拟鱼群的觅食行为而实现寻优。算法主要利用鱼的三大基本行为：觅食、聚群和追尾行为，采用自上而下的寻优模式从构造个体的底层行为开始，通过鱼群中各个体的局部寻优，达到全局最优值在群体中凸显出来的目的。 这是一个鱼群算法的案例，希望大家可以有所收获(Artificial fish swarm algorithm is a new fangsheng optimization algorithm proposed by li xiaolei et al. on the basis of the research on intelligent behavior of animals in 2002. This algorithm simulates the foraging behavior of fish swarm according to the characteristics that the place with the largest number of fish survival is the place with the largest number of nutrients in the water area.)

说明：  采用隶属函数型神经网与模糊控制融合的解耦方法（DMFFCNN）方法实现解耦控制，有文字说明和源代码(Membership functions using neural networks and fuzzy control integration decoupling method (DMFFCNN) method of decoupling control, there are text and source code)

matlab gui设计 table和excel的交互使用方法。(matlab gui table and excel)

In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.