sample-GA-ysz-asal

基于熵的属性离散化方法，参见《一种基于熵的连续属性离散化方法》(An entropy based algorithm for discretization of continuous variables)

说明：  This paper presents a Matlab Simulink model of a single-phase 2kVA Voltage Controlled Voltage Source

在Matlab的Simulink仿真环境，模拟光伏板输出功率曲线。(In Matlab Simulink simulation environment, the analog output of photovoltaic panels power curve.)

matlab pso-xc evolve.m matlab pso-xc evolve.m

通过计算机上的多媒体卡，按照下列过程进行声音信号的录制、处理和回放，观察处理前后的波形，同时比较声音信号处理前后的效果。 1、 将录制的信号反褶以后播放（反褶以后的信号移到t=0点开始）。 2、 将录制的信号改变取样率（相当于进行了尺度变化）以后播放。 3、 将录制以后的信号延时1s，并将幅度降低一半，接着与原来的信号相加，然后播放。(Multimedia card on your computer, follow the process for recording, processing, and playback sound signal waveform observed before and after treatment, while comparative effectiveness sound signal before and after treatment. 1, the signal recorded after deconvolution player (deconvolution signal moves after t = start 0:00). 2, the signal is changing the sample rate recording (is equivalent to a scale change) later playback. 3, after the recorded signal delay 1s, and reduce the rate by half, and then with the original signal are added, then play it.)

信号与系统时频分析及Matlab的应用，设计z变换、fft变换、拉普拉斯变换等(Time-frequency signal and system analysis and Matlab applications, design of the z-transform, fft transform, Laplace transform)

关于主成分分析matlab编程中的M文件(Principal component analysis of the M-file in the Matlab programming)

说明：  matlab 和数学建模相关的一些应用，讲的还是不错的、(matlab and some related mathematical modeling applications, talk is good,)

收敛性好，代码较简单易懂，适应于初学者。(Good convergence, the code is relatively simple to understand and adapt to beginners.)

在某初教机的线性模型基础上，建立了飞机的纵向和横向传递函数，分析了模型参数的不确定性，通过使用MATLAB中的NCD模块对飞行控制系统及PID控制器等参数进行优化，设计出了飞机的自动驾驶仪高度保持和航向保持模式。这种方法既避免了复杂的计算和编程，又使系统具有较好的稳定，陛、动态性能和鲁棒性，克服了飞机模型参数随着高度和速度的变化（即模型参数存在不确定性）而需要按照多个不同高度和速度的飞行区域设计一系列控制器的缺点(early in a plane of the linear model, based on the aircraft's vertical and horizontal transfer function, Analysis of the model parameters of uncertainty, MATLAB through the use of the NCD Blocks flight control system and PID controller parameters for optimization, design of the aircraft's automatic pilot systems, and maintain a high degree course-keeping mode. This method not only avoids the complex calculation and programming, the system has good stability, Her Majesty, dynamic performance and robustness. overcome the aircraft model parameters with the height and speed of change (that model parameters uncertainty exists) and the need to not more than with the height and speed of regional flight controller design a series of shortcomings)