lvboquzao

它试图解决的问题，薄弱的标签是一个多学习一种新标签的问题，其中只有部分标签集与每个提供相关培训的例子(This package includes the MATLAB code of the multi-label learning algorithm WELL. It tries to deal with weak label problem which is a new kind of multi-label learning problem, where only a partial label set associated with each training example is provided. A Readme file and an example file are included in the package)

程序描述了一种内点法的方法，能够实现具有等式不等式约束的线性最优算法求解(Procedure describes a method of interior-point method, to achieve equality with inequality constrained linear optimal algorithm)

最小均方误差自适应算法，简称LMS算法.LMS算法自适应实现 (MMSE adaptive algorithm, or LMS algorithm. LMS adaptive algorithm to achieve)

利用FFT变换，对sine2进行频谱分析，画出频谱图 利用fir源程序对输入波形sine2进行低通滤波，并将结果输出至result.dat (Using FFT transform, spectral analysis of sine2, draw the spectrum graph fir the use of the input waveform sine2 source for low-pass filtering, and the results output to result.dat)

某校60名学生的一次考试成绩如下： 某校60名学生的一次考试成绩如下： (93 75 83 93 91 85 84 82 77 76 77 95 94 89 91 88 86 83 96 81 79 97 78 75 67 69 68 84 83 81 75 66 85 70 94 84 83 82 80 78 74 73 76 70 86 76 90 89 71 66 86 73 80 94 79 78 77 63 53 55 1)计算均值、标准差、极差、偏度、峰度，画出直方图； 2)检验分布的正态性； 3)若检验符合正态分布，估计正态分布的参数并检验参数 (1)计算均值、标准差、极差、偏度、峰度，画出直方图； 2)检验分布的正态性； 3)若检验符合正态分布，估计正态分布的参数并检验参数(60 students of a school examination results of the first as follows: (1) calculating the mean, standard deviation, very poor, skewness, kurtosis, draw histogram 2) test of normality of distribution 3) If the test in line with normal distribution, it is estimated that the normal distribution parameters and test parameters)

neural network programming with a simple example

Sines. Sum sines. Every operations with sines and cosines.

使用遗传算法在自由空间下对机器人进行全局路径规划 matlab软件(The use of genetic algorithms in the free space of the robot global path planning matlab software)

被控对象为两惯性模型，调节器为PI调节器并在系统中加入了整数阶干扰观测器(Inertial model for the two charged objects, regulator for the PI regulator and in the system by adding the integer-order disturbance observer)

采用 Welch法在matlab中进行功率谱密度计算(Welch method using power spectral density calculation in matlab)