2002Fuzzy_and_Neural_ControlB

This m files and Gui files are for solve the problem about Find specific position in 3D space. by using 3d circles you can axis in 3d spaces except one situation explaned as not selected axis x,y,z if you want to know more about seek the position in 3D spaces than depress the zip file and operate m file named Robot_report1 and Robot_report1.fig

介绍地球物理中的一些主要算法，及其c++编译，英文版(discribe the use of c++ in geophysical )

美赛大长河问题的进阶代码，从速度单一到速度不同到不同套餐下的速度(MCM the big long river)

The proposed approach satisfies the integrability condition and does not need any boundary condition assumptio-ns, we have designed a stand-alone, flexible Matlab implementation that enables to evaluation the proposed approach. The experiments on real images show the approaches ability to reconstruction the surface from SFS.

基于遗传算法的无功优化matlab实现方法软件包，调试基本通过，可直接下载应用，具体例子可以自己修改一下原代码(Based on Genetic Algorithm for Reactive Power Optimization method matlab package, debugging basic through direct download applications, specific examples can modify the original code)

说明：  ITU的MIMO无线信道模型，基于几何的模型，是对不同场景的无线信道的建模(MIMO wireless channel model)

单目标，窄带波束成形，精确定位，常规波束成形小程序(Single target, narrowband beamforming, precise positioning, conventional beamforming applet)

说明：  利用蚁群算法的改进算法实现图像分割，并与传统蚁群算法作比较(The improved ant colony algorithm is used to realize image segmentation and compared with the traditional ant colony algorithm.)

基于MATLAB的近似熵程序,主要用与生物信号的检测,主要用于生物医疗工程的信号处理方面(matlab program for calculating approximate entropy in biomedical signal processing especially.)

说明：  遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。(a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. 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.)