VTPR_VLE

可以实现模式识别领域的数据的分类及回归，利用自然梯度算法，是机器学习的例程。( You can achieve data classification and regression pattern recognition, Use of natural gradient algorithm, Machine learning routines.)

利用svm进行分类器 很方便实用 强大 简介(Use svm classifier 13# highest feature index 3# kernel parameter-d 1# kernel parameter-g 1# kernel parameter-s 1# kernel parameter-r 270# number of training documents 117# number of support vectors plus 1 )

LS-SVM Leave-One-Out Cross-Validation Demo G. C. Cawley, "Leave-one-out cross-validation based model selection criteria for weighted LS-SVMs", Proceedings of the International Joint Conference on Neural Networks (IJCNN-2006), pages 1661-1668, Vancouver, BC, Canada, July 16-21 2006. (pdf)theoval.cmp.uea.ac.uk/~gcc/matlab/

很好用的matlab的常用命令集合，word格式(Good with matlab collection of commonly used commands, word format)

可以试想大型机械零部件的轴承故障诊断功能。并可保存数据。(Bearing fault diagnosis can imagine a large mechanical parts. And save data.)

Vector Component Analysis

用Matlab编程，实现解决该问题的单样本训练BP网络，设置一个停止迭代的误差Emin和最大迭代次数。在调试过程中，通过不断调整隐层节点数，学习率η，找到收敛速度快且误差小的一组参数。产生均匀分布在区间[-4，4]的测试样本，输入建立的模型得到输出，与Hermit多项式的期望输出进行比较计算总误差（运行5次，取平均值）(Using Matlab programming, to solve the problem of single sample training BP network, set a stop error iterations Emin and the maximum number of iterations. In the debugging process, by continuously adjusting the hidden layer nodes, learning rate η, fast convergence and find a set of parameters small errors. Produce a uniform distribution in the interval [4,4] of the test sample, the model has been established input output with the expected output Hermit polynomial calculated by comparing the total error (run 5 times the average))

EOF（经验正交函数分解）可以进行时空分离，同时也可以分析周期规律(EOF (empirical orthogonal function decomposition) can be temporal separation, but also can analyze cycle regularity)

说明：  关于利亚普诺夫稳定性的模型参考自适应m文件(Australia Punuo Fu on the stability of model reference adaptive m file)

风光互补最优运行的电力系统程序，可以确定风机、PV组件和蓄电池的最优组合(Wind and solar power system optimal operation of the program, you can determine the fan, PV components and the optimal combination of battery)