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Higuchi Fractional Dimenson Test for Identification of Chaotic Systems

用MATLAB中SDE框架实现各维度的随机步走(In this demo we use the SDE framework in the Econometrics Toolbox to implement various random walks. )

This demo explains the use of the advanced object oriented interface model. The model is the generic object which collects all relevant signals, parameters, options and functions related to an application of the LS-SVM. This interface is depreciated for the casional users because of the implicit nature: the distinction between in- and output vanishes. If one wants to use the full power of LS-SVMlab, one is recommended to go through this demo. The options can be divided in 5 classes, the general LS-SVM options the trainpoint administration, the options of the Conjugate Gradient algorithm the preprocess options and the encoding options. The demo shows how to control the preprocessing and the coding using the appropriate model. It is adviced to check carefully the model s options before starting the calculations.

多输出的支持向量机matlab代码, 常规的svm是单输出，这个是多输出( Standard SVR formulation only considers the single-output problem. In the case of several output variables, other methods (neural networks, kernel ridge regression) must be deployed, but the good properties of SVR are lost: hinge-loss function and sparsity. The proposed model M-SVR extends the single-output SVR by taking into account the nonlinear relations between features but also among the output variables, which are typically inter-dependent. )

AUSM求解半圆面NS方程(海平面参数)(AUSM METHOD FOR CIRCULAR BODY FLOW WITH SEA-LEVEL CONDITION)

Determine the FT of sequence x(n)=R4(n) by Matlab, and plot the figure (Determine the FT of sequence x (n) = R4 (n) by Matlab, and plot the figure )

基于SVM的Web应用缺陷预测方法 刘旸 (Web application defect prediction method based on SVM Liu Yang)

MATLAB经典的算法程序，帮助学习MATLAB(classic MATLAB program)

开关磁阻电机的角度位置控制simulink模型(angular position control for SRD)

说明：  压缩包为三电平NPC方法例程，调制方法是SVPWM，相关研究者可借鉴(The compression package is a three-level NPC method routine, and the modulation method is SVPWM. Relevant researchers can learn from it)