C# 15数码算法，A star 函数实现

基本的神经网络计算TLU，对于所有学习神经归纳的第一个算法来说，单个神经容易做训练，虽然不会有问题的异或解，但它是人类神经史上的第一步。

使用Visual C++ 2003编写的遗传算法库，具有详细的说明文档，使用接口函数传入相关适应度函数与基因个数、迭代次数相关信息，进行目标优化，使用类模板的形式支持函数并行化-Using Visual C++ 2003 prepared by the genetic algorithm library, a detailed description of the document, use the interface function is passed the fitness function associated with the gene number, number of iterations relevant information to carry out objective optimization, the use of class template in the form of support function parallel

用BP神经网络程序模拟销售预测，能对销售数据进行时间序列预测，采用VC实现-BP neural network simulation sales forecasts, sales data can be right for time series prediction, using VC

神经网络的算法，关于BP网络的编写-neural network algorithm, on the preparation of BP Network

Tutorial On Fuzzy Logic

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.

//主函数，主要是用于启动用于模拟虚存活动和进行监控的两个线程；-//main function is mainly used to launch virtual memory used to simulate and monitor activities of the two threads;

Hopfield Model Autoassociative Memory 源码, 经典的HOPFIELD人工神经网络例子源码-Hopfield Model Autoassociative Memory source, HOPFIELD classic example of artificial neural network source

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

这是用实验函数--Ackley函数来检验遗传算法的优越性，其中有点小毛病，就是种群数在20个左右效果最好，一旦增加种群，结果就不大对劲了。忙了好多天，也没调出来，还请各位大侠指点喽-This is the experimental function-- Ackley function to test the advantages of genetic algorithm, with a little fault, is the number of stocks in the 20 best around, once increased stocks, the result is not very comfortable having the. Busier afterwards, it was not stressed out, please Shanhaiguan kind Lackeys