基于改进SVM的特征选择，可以帮助大家认识SVM

基于遗传算法的基元识别与提取，C++源代码-Based on genetic algorithm identification and extraction of primitives, C++ Source code

一个利用hough变换来检测图像中直线的函数的源代码-using a Hough transform to detect images linear function of the source code

采用蚁群算法解决旅行商问题，IDL语言编写，动态现实中间过程。-Using ant colony algorithm to solve traveling salesman problem, IDL language, dynamic realities of the middle of the process.

本多功能自控系统软实验平台包括经典控制理论、现代控制理论、系统辨识、最优控制、智能控制等的软实验内容，其功能接近和部分超过了Matlab的自动控制工具箱，其人性化的中文界面，让使用者能轻松完成各种控制系统实验，是学习控制理论、设计控制系统的有力工具。-the multifunction control system experimental platform including soft classical control theory, the modern control theory, system identification, optimal control, intelligent control of the soft experiments, its function and some close over the Matlab toolbox control, the human interface to help users easily End into a variety of experimental control system, control theory is the study and design of the control system powerful tool.

介绍了神经 网络中的HOPFIELD算法的C语言实现.-Introduce a neural network algorithm HOPFIELD realize the C language.

通过C4.5 的实现可以进行构建决策树 来进行有效的分类-Through the realization of C4.5 decision tree can be constructed to carry out an effective classification

NSGA-II遗传算法的文档，里面的内容比较好理解，是学习遗传算法的必备知识-Genetic Algorithm NSGA-II of the document, which is better understanding of the content is a genetic algorithm to learn the knowledge necessary

hough变换的代码，这个变换可以原来检测直线或圆等图形。-Hough Transform code, can transform the original circular or linear detection, such as graphics.

数据挖掘中频繁项集挖掘算法，改进了apriori算法，性能提高很多-Data Mining frequent itemsets mining algorithm, improved apriori algorithm, improve the performance of many

遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."