HopfieldnetC++source，Hopfield网络的原代码。C++代码

二进制的基本遗传算法，在VC++环境下编程实现。-binary basic genetic algorithm, the VC environment programming.

标准tsai摄像机标定源代码。（两步标定）-standard camera calibration source. (Two-step calibration)

MATLAB版遗传算法解TSP问题-MATLAB version Genetic Algorithm for the Traveling Salesman Problem

用人工神经网络实现格林码的编码，通过对网络的训练实现，输入一串0/1码得到其格林码-using artificial neural networks Green codes, the network through training, input string of 0/1 yards code to be its Green

A*算法，迷宫寻路，初步解析A*算法如何在迷宫寻路-Astar

NSGA-II遗传算法的文档，里面的内容比较好理解，是学习遗传算法的必备知识-Genetic Algorithm NSGA-II of the document, which is better understanding of the content is a genetic algorithm to learn the knowledge necessary

这一个指纹识别的源代码程序,相当有收藏价值-that a fingerprint identification of the source code procedures and very collectible value

神经网络训练算法,很快 很简单 很适用 能快速用到实验环境中去-Neural network training algorithm, is applicable to very quickly is very simple to quickly use the experimental environment

用VC编制的集成的野人和八数码演示程序。其中野人程序用动态的效果演示，并能设置进度。八数码程序能根据给出的源状态转换成目标状态。-VC establishment of integrated Savage and eight digital presentations. Savage procedures which use dynamic demonstration effect, and can be programmed to progress. Eight digital process according to the source is converted into a state target state.

改进遗传算法－郭涛算法做最优化问题很管用,算法的基本思想是 先任意产生n个随机数，然后从n个数里随机选择m个数，再有这m个 数合成一个新数，将这个新数同n个数中间适应值函数值的最差的比较， 如果好的话就取代最差的那个，如果它比最好的还要好的话，则把最好的 也取代。如果比最差的坏，则重新合成一个新数。依次循环下去。 程序的奇妙之处是GA_crossover()函数，产生的新数确实比较好，看看 那位大侠能改进一下，产生比这跟好的数。-improved genetic algorithm- Guo Tao done optimization algorithm is very effective, and the algorithm is the first basic idea arbitrary n generated random number and then the number li n m randomly selected number, and this number m of a new synthesis of the new middle with n number fitness function of the worst by comparison, if a good case to replace the worst, um, if it even than the best, then ruled the best have replaced. If worse than the worst, a de novo synthesis of new. Followed by the cycle continues. The magic of procedures is GA_crossover () function, the new really good to see heroes who can be improved upon, it generated more than a few with a good.