KNN和BP的算法实现。输入一系列的样本值，进行训练和分类。源码是实现了两个分类器，已经调试通过

基于贝叶斯的数据挖掘算法的实现,使用visual stutio2005编程实现。-Bayesian data mining algorithm, using the visual stutio2005 programming.

一个经典的C语言遗传算法程序包，可直接用来开发遗传算法的应用程序-a classic genetic algorithm C language package can be used directly for the development of the genetic algorithm application

基于Hopfield人工神经网路的室内全域路径优化。主要是利用Hopfield求解TSP的方法。用于课程设计。-based on artificial neural network Hopfield indoor entire domain path optimization. Hopfield is mainly used for TSP method. For course design.

清华大学不确定规划教材中的用遗传算法训练神经元网络的混合智能算法1-Tsinghua University, uncertainty in the planning of teaching materials by using genetic algorithm trained neural network Hybrid Intelligent Algorithm 1

该程序是基于MATLAB环境的pso实现tsp问题-The program is based on the MATLAB environment, the issue of PSO realize tsp

基于粒子滤波原理，选取颜色特征对目标进行描述，实现视频目标的实时跟踪，效果较好。-Principle-based particle filter, select the color characteristics of the target description, realize the goal of real-time video tracking, better.

递归神经网络故障诊断，可以看看，不错的哦-Recurrent neural network fault diagnosis, you can see, oh well

遗传算法的c语言实现-genetic algorithm in C Language

模式识别中isodata的 vc++实现-pattern recognition isodata achieve the vc

nnToolKit 神经网络工具包是基于 MATLAB 神经网络工具箱自行开发的一组神经网络算法函数库，其中的函数在MATLAB环境下均可独立运行，并可打包成DLL组件，这些组件作为独立的COM对象，可以直接被Visual Basic、Visual C++ 、C++ Builder或其它支持COM的高级语言所引用。本工具包中包含的算法包括BP算法中的一些改进算法、模糊神经网络、小波神经网络、遗传算法优化神经网络权值改进算法等，根据需要，读者还可以对该工具包进行扩展，即扩充一些新的函数，以实现特殊的算法需求。-nnToolKit neural network tool kit is based on the MATLAB neural network toolbox developed by a group of neural network algorithm library, which functions in the MATLAB environment can be run independently, and packaged into a DLL components, these components as a separate COM object, can be directly by Visual Basic, Visual C++, C++ Builder or other high-level language support COM quoted. The toolkit includes algorithms, including some of the BP algorithm to improve the algorithm, fuzzy neural network, wavelet neural networks, genetic algorithms to optimize neural network weights to improve the algorithm, if necessary, readers can also expand the tool kit, namely the expansion of some new function, the algorithm in order to achieve sp