AS-74_3115_neural_networks_-_basics

Implementacion del metodo Gauss-Seidel para la solucion de sistemas de ecuaciones, tomando como aproximacion inicial x0.

The Gauss-Seidel technique is intuitive and easy to use on large or small problems. However, you should beware that the convergence tolerance must be carefully selected. Because the convergence criterion is based on the error between iterations, the same convergence criteria may lead to very different results. The direct solution technique presented in Section 2.6.2 is generally preferred over an iterative technique like Gauss-Seidel iteration if a tool such as MATLAB that provides a computationally efficient means of solving sparse matrices is available.

多元线性回归及显著性检验Matlab程序（完美版）(Multiple linear regression and significance tests Matlab program (perfect version))

copula中对边缘函数的说明copula的均匀分布的估计及Garch模型的拟合(The description of the edge function in copula)

Image processing RANSAC registration

说明：  matlab中simulink三相整流电路的仿真(sanxiangzhengliudianlufangzhen)

说明：  用多种方式进行神经网络模拟，比较了多种模拟方法的优劣(In many ways the neural network simulation to compare the advantages and disadvantages of various simulation)

用matlab仿真LMS算法和RLS算法的收敛性，并对rls算法和lms算法做比较(Matlab simulation with the LMS algorithm and RLS algorithm convergence, and rls algorithms and lms algorithm to compare)

基于matlab平台的蚁群聚类算法 很有用 (ant clusting)

对于matlab初学者很好的基本的经典的源代码学习例程(Good for beginners basic matlab classic study of the source code routines)