解非线性规划模型的遗传算法，采用visual c++语言编写，结构清晰，明了易懂，注释完整...

一种支持向量机多专家决策算法，很有参考价值-a support vector machine algorithm experts, great reference value

详细讲解了动态规划的算法问题，再通过“装箱问题”等7个程序实例介绍解决动态规划问题的思路和方法。-Gave a detailed algorithm for dynamic programming problems, and through the " bin-packing problem" and other instances of seven procedures introduced to solve the problem of dynamic programming ideas and methods.

交流 模糊控制 交流 模糊控制-Exchange of the exchange of fuzzy control fuzzy control

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

基于改进SVM的特征选择，可以帮助大家认识SVM-To improve the SVM-based feature selection can help you understand the SVM

Kohonen的SOFM(自组织特征映射)：这种算法部分收到生物特征影响，在网络输出层内按几何中心或特征进行聚类。-Kohonen the SOFM (self-organizing feature map) : This algorithm received some biological features, the output layer to the network within the geometric center or cluster features.

一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的（一维或者二维）的离散网络上，并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类-A competitive learning through self-organizing network for data dimensionality reduction and visualization of single-layer neural network model. Using this algorithm can be multi-dimensional input space is mapped to the low-dimensional (one-dimensional or two-dimensional) discrete network, and will remain the same as the nature of the input data is mapped to the low-dimensional space of topological consistency. iris as well as the letter the two data sets to classify

神经网络中自组织特征映射模型算法的源程序，属于无导师学习！-Neural network model self-organizing feature map algorithm source, belonging to no mentor to learn!

蚁群算法源代码，一个老外的例子-ant colony algorithm source code and an example of a foreigner

模式识别的书，介绍的论文模式识别的书，介绍的论文-Pattern Recognition book on pattern recognition paper book, the thesis introduction