aqm-dos-sim-plat-1.1

说明：  python遗传算法求解背包问题,后者由1978年由Merkel和Hellman提出。其运行依赖DEAP (python genetic algorithm knapsack problem, which in 1978 proposed by Merkel and Hellman. Its operation depend DEAP)

数据离散化的方法 对于不能处理连续问题的算法 可先进行离散化 然后在进行相关工作(Data discretization methods can not handle the problem of discontinuity for the algorithm can first be discretized and then carrying out related work)

随机产生5类二维坐标系中的数，使用SOM网络进行无监督聚类，将产生的随机数自动聚成五类，并将结果用图像直接显示出来，生成训练好的网络权值(Five kinds of random numbers in two-dimensional coordinate system are generated randomly, and unsupervised clustering is carried out using SOM network. The random numbers generated are automatically clustered into five categories, and the results are displayed directly with images to generate the trained weights of the network.)

说明：  使用tcp 进行文件传输，（可以当作学习tcp通信传输的参考）(Using TCP for file transfer (can be used as a reference for learning TCP communication transmission))

说明：  matlab实现BP，实现MINIST手写数据集识别(MATLAB realizes BP algorithm to recognize Minist handwritten data set)

用matlab编写的一个经典的基于排挤机制的小生境遗传算法程序 (Matlab prepared with a classical crowding out mechanism based on niche genetic algorithm procedure)

用遗传算法解非线性方程组的Matlab程序，包含程序流程的文字说明。(Genetic algorithm for solving nonlinear equations Matlab program, the program is described in detail.)

利用最小互信息实现向量的特征选择，优化分类器的设计，原创(The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality)

模式识别基本方法matlab源代码，包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换(Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural networks, 1_k neighbor method, the clip method, feature selection and feature transformation)

加权预测数据matlab程序，适应于新手入门使用，可以很好地运行，(Weighted forecast data)