ai 代码的C++实现，在VC6.0下运行通过

松弛算法 批处理裕量松弛算法 样本数据和松弛值自定义-Relaxation Algorithm margin Relaxation Algorithm batch sample data value and relaxation since the definition of

mtlab的遗传算法的源程序,很好用的,这是个压缩文件,请解压缩后使用-mtlab genetic algorithm source, the good, it is a compressed file, decompress after use

一个简单的用MATLAB写的BP算法源程序。-a simple written in MATLAB BP algorithm source.

遗传算法优化神经网络的C源程序- Heredity algorithm optimization nerve network C source program

weka 的决策树的实现,对数据挖掘感兴趣的可以下哦,很好的呀-if you like Dataming

自适应遗传算法，采用C编写，比较适应开始学习遗传算法的人学习-Adaptive genetic algorithm, using C write, compare the genetic algorithm to adapt to start learning to learn

每条人工鱼迭代20次的位置,每条人工鱼迭代20次的位置,对应的Y的值,每条人工鱼迭代20次的临时位置,公告牌,每条人工鱼迭代20次的位置,对应的Y的临时值，公告牌,人工鱼移动的最大步长,求出最优的函数值；-Each of artificial fish, the location of 20 iterations, each iteration of artificial fish, the location of 20 times the corresponding value of Y, each iteration of artificial fish 20 times a temporary location, bulletin boards, each iteration of artificial fish 20 second position, corresponding to the provisional value of Y, bulletin boards, artificial fish, the biggest step to move, find the optimal function value

调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2 -process called CM = Confusion_matrix (train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB (DP, test_targets, CM) DP, three-dimensional array (i, j, k) for the k samples of DP matrix targets for 0 1 2

More AI...(GEP) Gene Expression Programming in C# and .NET 由Michael Gold用C#开发的GEP程序.-AI ... (GEP) Gene Expression Programming in C# and. By Michael Gold NET C# development of the GEP procedures.

使用java构建神经网络的开源项目教程，是java爱好者学习神经网络的难得教材。虽然是英文教材，但是语言简单，易懂。书中前几章对于神经网络基本原理的讲解十分通俗易懂，利于初学者对相关知识的理解和吸收，即使不是java编程者，也可以从中受益匪浅。 -Using the java open source project to build neural networks tutorial java lovers are rare neural network learning materials. Although the materials are in English, but the language simple, easy to understand. The book for the first few chapters explain the basic principles of neural networks is very user-friendly, which will help beginners to understand and absorb the relevant knowledge, if not the java programmers can also be benefited from.