一个采用VC编写的神经网络源代码，供大家参考。

识别动物的专家系统,包括长颈鹿、斑马、鸵鸟、企鹅、信天翁等七种动物的简单专家系统,表现了专家系统的框架结构-Expert system to identify animals, including giraffes, zebras, ostriches, penguins, albatrosses and other seven animals, a simple expert system, the performance of the expert system framework

本程序能实现专家PID控制。专家控制的实质是基于受控对象和控制规律的各种知识，并以智能的方式利用这些知识来设计控制器。-the procedures to achieve expert PID control. Experts control of the controlled substance is based on the object and control the various law knowledge, and the intelligent use of this knowledge to design controller.

ｍａｔｌａｂ编写的计算排序问题或者求最优值问题，适用于数学建模以及工程计算-Matlab calculations prepared by the scheduling problem or seek optimal values, apply to mathematical modeling, and engineering computing

bp神经网络识别数字，可识别0-9的十个数字-the number of bp neural network can identify the ten figures 0-9

正则化方法分类器，模式识别，matlab-Regularization method classifier, pattern recognition, matlab

粒子群算法，这是一个标准粒子群优化算法源码-PSO

神经网络中自适应谐振理论模型实现的C语言源程序！-Neural network adaptive resonance theory model of the C language source code!

LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包，可以解决分类问题（包括C- SVC、 n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ） 等问题，提供了线性、多项式、径向基和S形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.

模式识别中关于C均值的聚类算法的程序,输入点进行聚类.-pattern recognition on the C-means clustering algorithm procedures input cluster.

八数码难题求解程序本程序所采用的启发函数,本人不能证明它能解决任何的八数码难题,如果对于较难的问题会产生很多节点,有可能会使空间不足,所以尽量不要出太难的问题难为它.希望广大的人工智能爱好者能写出更好的启发函数.-eight digital problem solving program of the procedures used by the heuristic function, I can not prove that it can resolve any of the eight digital problem, if for the more difficult problems will have many nodes, it is likely to lack of space, so as not up to the difficult problems it hard. I hope the love AI who better to write a heuristic function better.