Moving-Average-Filter

This is the file for sensorless model referance adaptive system.

自适应有限元子程序，用来求解不同边界条件（第一类和第二类）的拉普拉斯方程(Adaptive finite element subroutine, used to solve different boundary conditions (first and second class) the Laplace equation)

convertir ultra wide band

This is a simple demo, solving a simple regression task using LS-SVMlab. A dataset is constructed in the right formatting. The data are represented as matrices where each row contains one datapoint. In order to make an LS-SVM model, we need 2 extra parameters: gamma (gam) is the regularization parameter, determining the trade-off between the fitting error minimization and smoothness of the estimated function. sigma^2 (sig2) is the kernel function parameter of the RBF kernel. The parameters and the variables relevant for the LS-SVM are passed as one cell. This cell allows for consistent default handling of LS-SVM parameters and syntactical grouping of related arguments.

说明：  各种各样的不同代码源打包，都是经过运行的，绝对可以使用。(A variety of different source code packages are run through, and absolutely can be used.)

MATLAB仿真及其在光学课程中的应用-第二版 源程序(MATLAB Simulation and Its Application in Optics Course - Second Edition Source Program)

数值计算方法与分析，典型的算法介绍，一本知识点比较全面的书(Numerical Algorithms for the typical method of introduction, a book more comprehensive knowledge points)

STEP: 1.Bringing descriptive model matemaryczny dyiiamike obiektii issue. 2.Present the resulting model in the form of transmittance merging appropriate input and output size. 3. Move the resulting model as rownaii state. 4. By making use of differential equations that describe rowname dyiiamike obiektii modeled. build a model in srodowiskn MATLAB / Simulink. 5.Przy carry out a model built using the experiments indicated by conducting classes and graphs to present position and speed of the system elements. 6. Discuss the correctness of obtained in the course s> wyiiikow stimulations.

说明：  无网格法2D悬臂梁算例 Nitscha法施加边界条件(Meshless method)

此代码是BP网络的MATLAB仿真程序，实现的是对曲线的拟合。(This code is a BP network, MATLAB simulation program, implementation is the fitting curve.)