mbsteg_1.2

adaboost for data mining algorithm of boosting

时频分析，用于时频分析，压缩文件，概率密度曲线 ，计算样本向量x的概率密度估计，返回在xi点的概率密度f，此时我们使用plot(xi,f)就可以绘制出概率密度曲线。(Time-frequency analysis, time-frequency analysis is used to compressed files)

Electromagnetic Simulation using the FDTD method章节后实例2-1 flux_density2_1用matlab重新编写(Electromagnetic Simulation using the FDTD method example 2-1 flux density ，rewriting in matlab)

通过MATLAB来计算环形天线的辐射阻抗，远场方向性图，还有极坐标方向图(By MATLAB to calculate the radiation resistance of loop antennas, far-field directivity pattern, as well as polar pattern )

蚁群算法和遗传算法相融合，将遗传算法和蚁群算法相结合，在寻优过程中发挥各自的优势，克服各自的不足。(Ant colony algorithm and genetic algorithm integration, the genetic algorithm and ant colony algorithm combined to play their respective advantages in the optimization process, to overcome their deficiencies.)

THIS BOOK FOR OBJECT ORIENTED SOFTWARE ENGINEERING

grey forecasting,using poor information system(grey forecasting, using poor information system)

[自動控制] Routh-Hankel matrix數值計算工具，輸入System Function後，程式會計算Hankel singular values and vectors、Schmidt pairs等值。詳情請見英文描述。(<<singular values and vectors>> [R_G,Sigma,U,V,Us,Vs]=HANKEL3(G) computes the Routh-Hankel matrix, the Hankel singular values and vectors, the Schmidt pairs of a given proper stable system G (created with either TF, ZPK, SS, or FRD).|| Output "R_G" is the Routh-Hankel matrix. || Output "Sigma" is a matrix whose elements on the diagonal are the Hankel singular values of the given system. || Output "U" is a matrix, the ith column of which is the left singular vector corresponding to the ith singular value. || Output "V" is a matrix, the ith column of which is the right singular vector corresponding to the ith singular value. || Output "Us" and "Vs" provides the Schmidt pairs. The ith elements of Us and Vs form the Schmidt pair corresponding the ith Hankel singular value. )

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)

function of matlab LMS-Newton algorithm