Back-Propagation

读取radarsar数据的MATLAB程序(MATLAB program to read the data radarsar)

故障信号的采样值，采样频率为100KHZ(Fault signal samples, the sampling frequency is 100KHZ)

用MIH的心电数据，并用MATLAB读取出来，呈现曲线(With MIH ECG data, and read out using MATLAB, showing curves)

用MATLAB对偶极子天线仿真，得出S曲线图(Dipole antenna with MATLAB for simulation, draw S curve)

实现了 SVM 在医学图像分类中的应用，通过医学图像的实验结果验证了该方法的有效性。 对 SVM 算法进行了深入研究，结合量子行为的粒子群算法的优点，提出了一种量子行为的粒子群算法和 SVM 结合的混合分类模型，应用于医学图像的分类中。 深入研究了 K-means 算法，结合了无监督聚类和监督分类方法的优点，提出了一种 K-means 和 SVM 结合的混合分类模型，并应用于医学图像的分类中。 利用粒子群和量子行为的粒子群算法对 K-means 算法进行了改进，并将改进的K-means 算法与 SVM 算法结合形成全自动分类模型，并且把它应用于医学图像的分类中。 (SVM in the classification of medical image applications, medical images through the experimental results verify the effectiveness of the method. SVM algorithm conducted in-depth research, combined with the quantum behavior of the advantages of particle swarm optimization, PSO and SVM combined behavior of a quantum mixed classification model, applied to medical image classification. In-depth study of the K-means algorithm combines the advantages of unsupervised clustering and supervised classification method, propose a hybrid combination of a K-means and SVM classification model, and applied to the classification of medical images. Improved particle swarm algorithm using particle swarm and quantum behavior of the K-means algorithm, and improved K-means algorithm and SVM algorithm combined with the formation of a fully automatic classification model, and apply it to medical image classification.)

此工具箱包括了多元校正中选择变量的一系列方法，包括ipls,bipls,mwpls,sipls等(the present toolbox contains a serie of methods used to select variables,such as ipls,bipls,mwpls,sipls.)

说明：  通过BLS-GSM方法去除影像的噪声，达到保留细节目的(The image noise is removed by BLS-GSM method to preserve details.)

简单KNN算法，基于MATLAB，适合初学者。(simple Knn )

This lab exercise will introduce you to the AccelWare IP generators. AccelWare is a library of over fifty IP generators, available in the form of three toolkits that produce synthesizable MATLAB for common MATLAB built in and toolbox functions. Each generator offers macro and micro-architecture selections that allow full customization of the generated model to the target application requirements.(This lab exercise will introduce you to the AccelWare IP generators. AccelWare is a librar y of over fifty IP generators, available in the form of three toolkits that pro duce synthesizable MATLAB for common MATLAB negation ilt in and toolbox functions. Each generator of fers macro and micro-architecture selections that allow full customization of the generated model to the target application requirements.)

lyapunov指数总结,讲的很详细，是学习的好资料，大家快下载吧(Lyapunov index, speak very detailed, is learning good information, everyone to download)