PV

云模型的matlab实现~具体实例~~~~~~~~~~~~~~~~~~~~~~~~~~(Cloud model implementation of the matlab ~~~~~~~~~~~~~~~~~~~~~~~~~~ ~ concrete examples)

说明：  通过对比两电平，五电平，我们设计一种7电平切换，得到更平滑切换(By comparing two levels and five levels, we design a kind of 7-level switching to get smoother switching)

遗传算法和神经网络混合编程，可用于优化计算，仅供参考(Genetic algorithm and neural network hybrid programming, can be used to optimize the calculation, for reference only)

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)

该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法(The kit includes two kinds of classification, two kinds of regression, and a one-class support vector machine algorithm (1) Main_SVC_C.m--- C_SVC II classification algorithm (2) Main_SVC_Nu.m--- Nu_SVC II classification algorithm (3) Main_SVM_One_Class.m--- One-Class Support Vector Machine (4) Main_SVR_Epsilon.m--- Epsilon_SVR regression algorithm (5) Main_SVR_Nu.m--- Nu_SVR regression algorithm)

支持向量机在分类和回归中的应用（MATLAB）(Application for svm in classification and regression)

Effect of DFIG on Stability of a Weak Grid

It can be used in simulating izhikevich neurons

说明：  用matlab编写的阴历阳历转换器，检查源码没发现用matlab编写的(using Matlab prepared by the lunar calendar followed the converter to check source not found with the preparation of the Matlab)

A.K.Nandi和E.E.Azzouz的期刊文献，是关于自动调制识别的经典文章，他们在基于模式识别方式上提出的自动识别的几个特征参数，是当前该领域研究的基础，对该领域研究来说有很大参考价值。(AKNandi and EEAzzouz of journal articles, is about the automatic modulation recognition of the classic article, based on pattern recognition in the way they presented the automatic identification of several characteristic parameters, is the basis of current research in this field, research in this area is a great reference value.)