42393210-s7033

amica-modified ica algorithm

matlab 7.0环境下的异步电机直接转矩控制仿真，已经测试通过，希望对相关人员有促进作用。(matlab 7.0 environment direct torque control of induction motor simulation, has been tested, and they hope to promote the role of stakeholders.)

用mathlab7.0编码，实现分布式电源接入对配电网电压，网损影响仿真，并以IEEE33节点为例说明。代码可直接运行(Mathlab7.0 coding to achieve the access of distributed power distribution network voltage loss affect the simulation, and IEEE33 node example. Code can be run directly)

利用matlab/simulink进行电气系统仿真。提供说明与示例。(Using matlab/simulink simulation of the electrical system. Provides instructions and examples.)

预测交通客流量，通过前20年的公交数据，预测今后5年的公交客运量。(Forecast traffic traffic through the first 20 years of public transit data, to predict the next five years passenger transport.)

分别选取远近不同的三幅图片，用同一种方法实现汽车车牌的提取(Were selected distance of three different images, using the same method to extract vehicle license plates)

说明：  IMPARARE IL C++ in 2 ore e mezzo? Modulo-111

利用matlab仿真金属圆柱体内电磁波分布，有助于掌握电磁波的传播情况。 把程序文档放入matlab的默认读取文档中，打开Cwave.m。Cwave.m是演示程序，由它调用其它函数。其中Z表示Kz*z，范围为0~2*pi。默认取2*pi为一个周期，num表示在一个周期内平均取多少个Kz*z值，默认为50(计算后每个值如Er都有五十幅图)。CWaveGuideCaculate函数用于计算Er,Efia,Hr,Hfia,Hz等值。CWaveGuideShow用于三维显示计算后得到的值，可以比较生动看到在一个周期内计算量的一连串的变换。(Matlab simulation using electromagnetic wave distribution inside the metal cylinder, is useful in the propagation of electromagnetic waves. To process the document read into matlab' s default document, open the Cwave.m. Cwave.m is the demonstration program, which will call other functions. Where Z said Kz* z, the range of 0 ~ 2* pi. The default access for a period of 2* pi, num, said the average take in a cycle number of Kz* z, default is 50 (calculated as per the value of Er has 50 chart). CWaveGuideCaculate function is used to calculate Er, Efia, Hr, Hfia, Hz equivalent. CWaveGuideShow been calculated for three-dimensional display of values, can be seen more vividly in a cycle of computation of a series of transformations.)

MATLAB智能算法30个案例分析的源代码，都是当下比较常用的代码 啊啊啊啊啊(MATLAB intelligent algorithm 30 case analysis of the source code, are more commonly used code moment ah ah ah ah ah)

支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误 差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推 广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过 实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)