粒子群算法，这是一个标准粒子群优化算法源码

基本bp神经网络算法和改进型bp神经网络算法都是我改写完成的算法，是网上到处传播的一个c++ bp神经网络算法改写的，由于网上的那个算法编译会出现若干百个错误，在其基础上重新编写和改进，写出了这两个算法-bp basic neural network algorithms and improved neural network algorithm bp I are complete rewrite the algorithm, the Internet is spreading everywhere, a c bp neural network algorithm rewrite the Internet that the algorithm will build several hundred mistakes, on the basis of its rewrite and improve, and wrote a This algorithm 2

细胞自动机的，很好的-Cellular Automata and fine

这个是用来进行基频检测的，目前做的最好的应该数Paul的基频提取算法了，误差可以小于万分之五。该源代码的算法是我根据Paul的算法修改得到，省略了插值部分，所以误差在百分之五以内，但是在实际工作中已经足够了。-is for the frequency of detection, so the best should be the number of frequency Paul extraction algorithm, can be less than prior error. The source code for the algorithm is based on the algorithm Paul to be amended, omitted the interpolation part, the error within 5%, but the actual work has been sufficient.

这是一种利用神经网络来进行人脸识别的算法。-This is a neural network to the face recognition algorithm.

VC写的harris角点检测程序。又名plessey，最经典也是目前效果最好的算法，比susan抗噪要好（实际的讲）-A program of Harris corner points test writen by VC.We can call is as plessey,it is the best algorithm.It better than susan from real useful point.

回溯法求01背包问题,c语言版本，由于时间关系没有将代码进行很好的整理，所有代码都在一个文件中-Retrospective Method 01 knapsack problem, c language versions, due to time not finishing a very good code, all code in one file

svm预测论文，基于粗糙理论的，感兴趣可以查一下，还不错-svm forecast thesis on the theory of rough, interested can check out, quite good! !

基于机器学习的自动逻辑推理机。本程序用归结反演策略实现了命题逻辑系统的自动推理。把要解决的问题作为一个要证明的命题，其目标公式被否定并化成子句形，然后添加到命题公式集中去,把消解反演系统应用于联合集，并推导出一个空子句(NIL)，产生一个矛盾。-based on the automatic machine learning logical reasoning machine. The procedures used attributed inversion strategy to achieve the propositional logic of automatic reasoning. Put the problem to be solved as a proposition to prove, with the goal being negated formula and shape into a phrase and then added to the Proposition formula to concentrate, digestion system for joint inversion sets and derived an empty phrase (NIL), resulting in a contradiction.

BP神经网络解决异或问题.模式识别常见问题解决-BP neural network to solve XOR problem. Pattern Recognition common problem-solving

神经网络基本算法源程序，包含四个基本算法：BF,ART I,RBF,自组织算法，有详细的帮助文件。-basic neural network algorithm source, contains four basic arithmetic : BF, ART I, RBF, self-organizing algorithm, a detailed help files.