遗传算法优化神经网络结构源程序

遗传算法的函数优化sga-genetic algorithm optimization function sga

另一个足球机器人程序，有非常好的参考价值-Another robot football program, there are very good reference value

排序方法，实现简单排序，原码，有说明文档。-sorting method, a simple ranking, the original code and documentation.

汉字识别的一个小例子 识别率不是那么高，但还是可以借鉴的-one small example of the recognition rate is not so high, but still useful

解非线性规划模型的遗传算法，用c++语言编写，注释完整，结构清晰-Genetic Algorithm for nonlinear programming

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.

自适应线性神经网路应用实例- Auto-adapted linear nerve network application example

采用遗传模拟退火的方法解决TSP问题，界面友好，程序运算效果很好-genetic simulated annealing method to solve the TSP, friendly interface and operation procedures with good results

基于ELMAN神经网络对阶跃响应动态进行补偿也可以举一反三的运用于ELMAN网络的其他应用-Elman neural network based on the step response of the dynamic compensation can be applied to an example of the Elman network other applications

一个关于HMM(隐马尔可夫模型)实现的C语言库。是Visual C++数字图像模式识别技术及工程实践的配套源代码-one of HMM (HMM) with the C library. Yes Visual C digital image pattern recognition technology and engineering practice supporting source code