Basic_Concepts_in_Matlab

说明：  matlab仿真例程，是支持向量机工具箱（matlab），可用于模式分类，模式识别 Nu_SVC二类分类算法(matlab simulation routines, support vector machine toolbox (matlab), can be used for pattern classification, pattern recognition Nu_SVC second-class Classification Algorithm)

计算系统的lyapunov指数，利用wolf方法。(Lyapunov exponent calculated using the wolf approach.)

此函数用于IS-95前向链路系统的仿真，包括扩频调制，匹配滤波，RAKE接收等相关通信模块,仿真环境: 加性高斯白噪声信道. (This function is used for IS-95 forward link system simulation, including the spread spectrum modulation, matched filter, simulation environment, RAKE receiver and other related communication module,: additive white Gauss noise channel)

an IDS system e book

matlab第三方工具箱lssvmlab v1.8适用于matlab版本R2009b_R2011a(third party matlab matlab toolbox lssvmlab v1.8 version applies R2009b_R2011a)

程序代码说明 P0201：MATLAB赋值 P0202：MATLAB中的for循环 P0203：MATLAB中的for循环和if条件 P0205：MATLAB图像处理的基本操作 P0206：MATLAB高级图像处理操作 P0207：根据RGB图像创建一幅灰度图像 P0208：二值图像的取反操作 P0209：用imshow函数显示图像 P0210：在同一个窗口内显示两幅图像 (Procedure Code Description P0201: MATLAB assignment P0202: MATLAB for loop in P0203: MATLAB for loop and if the condition P0205: MATLAB image processing basics P0206: MATLAB high-level image processing operations P0207: RGB image created according to a gray image P0208: binary image of the check against action P0209: use the imshow function to display images P0210: in the same window display two images)

用matlab自行编写的概率密度函数绘图代码(failed to translate)

说明：  针对移动机器人在海水环境中的三维路径规划问题容易陷入局部最优和收敛慢等瑕疵,根据三维环境全局信息来改进蚁群算法以提高实时性和收敛速度(the ant colony algorithm is improved according to the global information of 3D environment to improve the real-time performance and convergence speed)

需求预测算法,时间序列中移动平均算法.matlab编写,代码全. 待整理(Demand forecasting algorithm, time series moving average algorithm Matlab to write code for the whole to be processed)

说明：  In this paper, an attractive approach for teaching genetic algorithm has been presented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation, and selection. An advantage of using such an approach is that the student becomes familiar with some advanced features of MATLAB, and furthermore, with the availability of other MATLAB Toolboxes such as The Control Systems Toolbox, Neural Network Toolbox and Fuzzy Logic Toolbox, it is possible for the student to develop genetic algorithm-based approaches to designing intelligent systems, which could lead to his/ her final year or MSc project.