几个经典的模式识别算法，有详细的程序实现…

TSP问题是组合优化中的经典问题。其解决方法有局部优化方法和一些启发式算法,局部搜索方法充分考虑问题 的邻域结构,遗传算法有很好的全局搜索能力,memetic算法把遗传算法和局部优化算法相结合,试验结果证明,能很好地解 决TSP问题。-TSP problem is a classic combinatorial optimization problem. Its solution has a number of local optimization methods and heuristic algorithms, local search methods take full account of the issue of neighborhood structure, genetic algorithm has good ability of global search, memetic algorithm for the genetic algorithm and local optimization algorithm combining test results proved that well positioned to solve the TSP problem.

用Java实现的多层BP神经网络，用于颜色和字符识别-using Java multi-storey BP neural network, for the color and character recognition

nsga2非支配排序遗传算法，c++源码实现-nsga2 non-dominated sorting genetic algorithm, c++ source code to achieve

对iris数据进行聚类分析的java源程序-Iris data of cluster analysis of java source code

实现了二维数据的K均值算法以及ISODATA分类算法-Achieve a two-dimensional data, as well as K-means algorithm ISODATA classification algorithm

非线性规划中求解无约束问题中的一个有效方法--模矢法(步长加速法),并用图表示出来步骤.-Nonlinear Programming Solution unconstrained problem of an effective method-- vector mode (step acceleration), and using map out steps.

一种基于BP网络的小波神经网络程序，用MATLAB编写的-BP network based on wavelet neural network procedures, prepared by using MATLAB

模式识别工具包，有很多模式识别的算法，可以在matlab中调用-Pattern recognition tool kit, there are many pattern recognition algorithms, you can call matlab

bp神经网络变形预测源程序(有待改进),很短的一段代码，所有直接写在TXT文件中。-bp neural network prediction deformation source (room for improvement), a very short piece of code, all directly in the TXT file.

这个软件可以对输入的象素矩阵进行识别。是根据《Neural Network Design》（Martin T. Hagan等）中的关于有监督的Heb学习编写的。使用JBuilder开发的界面，使用JCreator开发的核心。-the software can input pixel matrix identification. Based on "Neural Network Design" (Martin T. Hagan, etc.) on the supervision of a study prepared by the Heb. Using JBuilder development of the interface, use JCreator development of the core.