pca

粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可(Particle Swarm Optimization (PSO) used neural network optimization program. Divided into no hidden layer, a hidden layer, two hidden layers. You can run DemoTrainPSO.m)

FA算法，能很好的解决函数优化问题，对于解高维函数有较好的实验结果(FA algorithm can solve function optimization problem, the solution of high-dimensional function for better results)

TSP can be defined as a problem where starting from a node it is required to visit every other node only once in a way that the total distance covered is minimized. After an initial solution a neighborhood solution is selected by an exchange of a randomly selected pair of nodes. The randomly generated neighbor solution is selected if it improves the solution else it is selected with a probability that depends on the extent to which it deteriorates from the current solution.

实现了广义预测控制的算法，里面有具体的说明文档(Implementation of the generalized predictive control algorithm, which have specific documentation)

matlab学习实例，包含源代码，简单易学(matlab study examples, including source code, easy to learn)

经济学的数值方法 配套例题以及习题答案的有关高斯法部分。(gauss seidel methods, SOR methods)

关于主成分分析(PCA)的MATLAB程序(MATLAB)

KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用.(KPCA major noise in the image to have the application. You can also feature extraction using dimension reduction.)

这个程序实现了基于主成份的人脸可视化分析,这是一个完整程序代码.(This program implements the main components of the human face based on visual analysis, this is a complete code.)

说明：  通过多目标优化算法计算了多决策的全局最优值。而且包含解码程序。(Through multi-objective optimization algorithm for calculating a number of global optimal values of decision-making. And decoding procedures contain.)