svm

Matlab7基础与提高下载资料,很详细，书中的例程都包括在内了(Matlab7 base and improve the download information, very detailed, the book' s routines are included in)

根据RADON变化思想，对三种倾斜方式提出了相应的校正方法(RADON change according to ideology, the three inclined manner corresponding correction)

对混沌时间序列相空间重构C—C方法的三点不足，提出了一种基于改进的C-c方法的 确定曩优时延与嵌入窗的新算法．在关联积分计算过程中引入了权衡计算精度与速度的可调参数， 合理选择试参数，能在不严重损失估计精度的前提下，大大加快计算速度。在理论分析的基础上， 用所提出的算法对三种混沌序列进行相空间重构，仿真结果表明该算法对最优时延的选择更准确， 对最优嵌入窗的选取更可靠。(Of chaotic time series phase space reconstruction methods of C-C less than three points, a method based on an improved determination of former times Cc excellent window of time delay and embedding the new algorithm. Calculation of correlation integral in the process of introducing a trade-off accuracy and speed of the adjustable parameters, a reasonable choice of test parameters can be estimated without serious loss of accuracy under the premise of the calculation speed greatly accelerated. In the theoretical analysis, based on the algorithm used by the chaotic sequence of three phase-space reconstruction, simulation results show that the algorithm of the optimal choice of a more accurate time delay, the optimal embedding window for the selection of more reliable.)

Dijkstra algorithm for Graph (Find Shortest path in Graph)

FINDENDSJUNCTIONS - find junctions and endings in a line/edge image Usage: [rj, cj, re, ce] = findendsjunctions(edgeim, disp) Arguments: edgeim - A binary image marking lines/edges in an image. It is assumed that this is a thinned or skeleton image (or nearly so). disp - An optional flag 0/1 to indicate whether the edge image should be plotted with the junctions and endings marked. This defaults to 0. Returns: rj, cj - Row and column coordinates of junction points in the image. re, ce - Row and column coordinates of end points in the image.

matlab求解vrpsd问题,解压可运行(HGA-for-VRPSD, The VRP is a well known integer programming problem which falls into the category of NP Hard problems, meaning that the computational effort required to solve this problem increases exponentially with the problem size.)

Multi SVM Classifier Matlab Code

We see that HTH matrix is almost diagonal as the off diagonal elements are nearly zero. So we are getting exact estimation in case of PRN INPUT due to diagonality of HTH matrix. As seen that the unknown inpulse response ( h ) and estimated impulse response ( hth ) are coming out to be exactly same. The estimation even gets better for large N .as we get the HTH matrix perfect diagonal. So we come to know that we can estimate the unknown parameters exactly when PRN input is used.

说明：  遗传算法的一些实现案例，包括函数优化，目标分配等问题(Some implementation cases of genetic algorithm, including function optimization, target assignment and so on)

说明：  在PSIM仿真软件中，对DC/AC，AC/DC，DC/DC做了基本仿真实验，对设计电源的人有一定帮助。(In PSIM simulation software, on the DC/AC, AC/DC, DC/DC made a basic simulation experiments, the power of design to help people who have some.)