研究机器人控制不可多得资料，强烈推荐

背包问题算法解决-Knapsack Problem Solving

libneural神经网络C库函数源代码，版本1.0.3.-libneural neural network C library functions source code, version 1.0.3.

隐马尔科夫模型工具箱使用样本文件，可以广泛应用于识别等领域-HMM Toolbox using sample documents can be widely applied in areas such as identification

求最优值的一个算法-seeking an optimal value of the algorithm

应用PCA（主成分分析）进行人脸识别的matlab程序，有较高成功率-PCA (Principal Component Analysis) face recognition Matlab procedures, which have a higher success rate

FastICA算法,使用matlab语言,是非常好的独立成分分析工具.-Fast algorithm, using Matlab language, is a very good independent component analysis tools.

HIGHLIGHT TRUE #define NOHIGHLIGHT FALSE #define UPDATE TRUE #define NOUPDATE FALSE #define FORMAT TRUE #define NOFORMAT FALSE #define LEFT 0-HIGHLIGHT# define NOHIGHLIGHT TRUE FALSE UPDATE# define TRUE## define FALSE de NOUPDATE fine FORMAT# define TRUE FALSE# defin NOFORMAT e LEFT 0

机器学习文本分类的SVM算法实现，VC++ 6.0环境下编译-A SVM algorithm for text classification in machine learning, and compiled under the Visual C++ 6.0 environment.

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."

有关TSP遗传算法的的三个pdf论文。不错的参考-The TSP of the three genetic algorithms pdf papers. A good reference