支持向量机源码，vc编写，对于svm初学者非常使用非常方便

经典算法应用：神经网络算法的一个实际应用-Application of the classical algorithm: neural network algorithm, a practical application

这是一个用遗传算法来解决异或问题的小程序。-This is a genetic algorithm to solve the problems or differences of small programs.

人工智能中九宫问题的实现，初始数据随机生成，最终状态随机生成，并用图形界面显示搜索过程-AI JiuGongTu the realization of the initial data randomly generated, the final state of random generation, and using a graphical interface shows search process

遗传算法求解TSP问题，内附有遗传算法基本原理，程序已验证-Genetic Algorithm for TSP problem, containing the basic principles of genetic algorithm has the process had been made to verify

线性M3网络及其示意图，用于检测M3网络冗余的算法-err

雅可比(Jacobi)迭代算法的C++实现，供研究设计使用-Jacobi (Jacobi) iteration algorithm for C++ implementation for research designed to use

本人编写的GramSchmidt神经网络算法，和传统的神经网络算法比较，该算法能自动产生神经元，节约时间，速度快！ 本人还加了自动产生分类的方法和适合各种函数的转换，该zip包括两个文件，一个是GramSchmidt正交分解，是个子函数，主函数是orth_GramSchmidt，放在同一目录下，就可运行，可以对benchmark的逼近和分类问题提供解决方案-I prepared GramSchmidt neural network algorithm, and the traditional neural network algorithm, the algorithm can automatically generate neurons, saving time, fast! I also added a method of automatically generated classification and conversion for a variety of functions, the zip includes two documents, one is GramSchmidt orthogonal decomposition is a sub-function, the main function is orth_GramSchmidt, on the same directory, you can run can benchmark approximation and classification problems to provide solutions

隐马尔科夫模型工具箱使用样本文件，可以广泛应用于识别等领域-HMM Toolbox using sample documents can be widely applied in areas such as identification

This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox

c语言实现人工智能神经元网络boltzman算法源码-c language artificial intelligence neural network algorithm source Boltzman