混合智能算法，采用visual c++语言编写，注释完整，清晰易懂

神经网络的算法，关于BP网络的编写-neural network algorithm, on the preparation of BP Network

模糊控制pid算法，程序化，可以方针，-fuzzy control algorithms, procedures, guidelines,

模拟退火基本模块，其中在尺度变换部分应用到了类似模拟退火算法部分，所有变量均使用汉语拼音很好懂-Simulated Annealing basic module, in which part of the scale transformation is applied to a similar part of simulated annealing algorithm, all variables are very good to understand the use of Hanyu Pinyin

机器学习讲义，内容丰富，讲解详细清楚，很全面积。-Machine Learning lecture, rich in content, clearly explaining in detail, it is the whole area.

Adaptive Resonance Theory (ART) Neural Network

人工智能程序源码-artificial intelligence source

用改进的神经网络MBP算法辨识 ，对具有随机噪声的二阶系统的模型辨识-improved neural network algorithm for identification of MBP, the random noise with the second-order system model

用BP神经网络程序模拟销售预测，能对销售数据进行时间序列预测，采用VC实现-BP neural network simulation sales forecasts, sales data can be right for time series prediction, using VC

matlab编写的遗传算法，采用二进制编码，有说明文档。-Matlab prepared by the genetic algorithm, using the binary coding, documentation.

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.