tsp_ga

交织码的突发信道仿真研究，应用了10x10矩阵，内码为汉明码(Code intertwined sudden channel simulation research, application of the 10x10 matrix, with the code for the Hamming Code)

说明：  基于遗传算法的优化bp神经网络的源代码，希望对大家有所帮助(Bp neural network genetic algorithm optimization)

ALGORITHM KRUSKAL s with computational comlexity for 5 to 30 tops. with chart.

Nhan dang bien so xe

说明：  遗传算法求解函数的极值源码，代码分为几个文件都是用遗传算法的操作命名。所求解函数具体说明在适应度函数文件和主要执行文件中都有说明。代码中有大量的注释，额甚至可以说注释的数量比代码量都多，因为编写次源码的初衷就是想用来给别人讲解遗传算法的一个大致的过程。虽然是最简单的GA，但是也还是有一定的效果。代码的不足之处欢迎指出。代码和注释为原创，希望转载者注明来源，以便大家技术交流。(A GA based on MATLAB. Including tons of comments for users. )

Entropy calculation of a file

gui in matlab and opencv

cortab function for wavelet analysis

刘金琨《智能控制》书本的所有源程序。都是用matlab编的，希望大家有用。(Jinkun "intelligent control" all source books. Matlab is used addendum to the hope that it may be useful.)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)