介绍了在LabView环境下的神经网络算法

使用matlab应用遗传算法进行函数优化-Using genetic algorithm in matlab to optimize function

This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification . JAVA 写的估计复合高斯模型中的参数 -This code is to estimate the parameter of model of Jian Gauss which is popular model used in pattern classification. Java was estimated composite Gaussian model parameters

不确定规划 遗传算法 Nonlinear Programming算法程序- Indefinite plan heredity algorithm Nonlinear Programming algorithm procedure

cost存放了一个强连通图的边权矩阵，作为一个实例。 可在workspace中加载 运用此算法要注意多次试验。 bianquan.m文件给出了一个参数实例，可在命令窗口中输入bianquan,得到邻接矩阵C和节点个数N以及一个任意给出的路径R,，回车后再输入jiaohuan3,得到了最优解。 由于没有经过大量的实验，又是近似算法，对于网络比较复杂的情况，可以尝试多运行几次jiaohuan3,看是否能到进一步的优化结果。-storage cost of a strongly connected graph edge weight matrix, as an example. Can be loaded in the workspace to use this algorithm to the attention of numerous tests. bianquan.m document gives examples of a parameter can be in the command window, type bianquan, be the adjacency matrix C and the node number N and an arbitrary given path R,, carriage return after the input jiaohuan3, have been the optimal solution . After the absence of a large number of experiments, it is approximate algorithm, for more complex network situations, you can try to run several jiaohuan3, can look to further optimize the results.

遗传算法的一些应用-GA 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

遗传算法工具包可以解决很多的问题,,非常有用-Genetic algorithm tool kit can be solved many problems, very useful

遗传算法解决双变量的函数最优化问题，有按钮的界面，用bc所编，生动模拟遗传进化过程-genetic algorithm to solve the two- variable optimization function, the button interface, using bc prepared by the vivid simulation of the process of genetic evolution

A matlab code for a reinforment learning routing problem-A Matlab code for a reinforment learning ro uting problem

遗传算法的源程序，对于初学者有很大帮助，建议多-Genetic algorithm source code, are very helpful for beginners, the proposed multi-