lyapunvwolftese

matlab5入门与应用，虽然讲的版本有点老，但是对刚上手的菜鸟来说，还是有一定的指导做用(matlab5 entry and application, although a little talk about the old version, but just for the rookie-to-use, or have to do with some guidance)

从神经元电极上测得的原始信号中检测锋电位信号(detect spikes)

希望给辛苦科研的人带来一点点帮助--学习因子可以变化的PSO算法，不再是c1=c2=2，粒子进化更加灵活，下面是学习因子同步变化的pso，调用形式为[xm,fv]=LNCPSO(fitness,N,cmax,cmin,w,M,D)(People who want to work hard to bring a little bit of research to help- learning factor can vary PSO algorithm is no longer c1 = c2 = 2, particle evolution is more flexible, learning factor is below synchronous changes pso, calling in the form of [xm, fv] = LNCPSO (fitness, N, cmax, cmin, w, M, D))

选择“BreastCancer”数据集，使用支持向量机(SVM)对其进行分类。作为对比，第一次对特征集直接进行支持向量机分类，第二次对特征集进行主成分分析法的特征提取后，再对特征提取后的特征集进行支持向量机分类。并且对比和分析了两次分类的结果。(The BreastCancer data set is selected and classified by Support Vector Machine (SVM). For comparison, the first time the feature set is classified directly by support vector machine, the second time the feature set is extracted by principal component analysis, and then the feature set is classified by support vector machine. The results of the two classifications are compared and analyzed.)

系统辨识及其MATLAB程序与剖析，非常好的程序，注释很详细，有很大的帮助(MATLAB System Identification and its procedures and analysis, very good procedures, the Notes are detailed, very helpful)

说明：  带约束算子的粒子群算法，用于matlab环境，对于搞研究的教师有很大帮助(Operator Constrained Particle Swarm Optimization for the matlab environment, engage in research for teachers are very helpful.)

说明：  关于matlabGUI方面的学习在书中有详细的介绍，方便读者学习(About matlabGUI area of ​ ​ study described in detail in the book allow readers to learn)

该程序实现了A律13折线量化编码过程。包括两种译码方法：1手工译码法，2逐次反馈法。(the program achieved a 13 dogleg A legal quantify the encoding process. Including two decoding methods : a manual decoding, two successive feedback.)

the test code of cnn net of deep learning and the test example in matlab(the test code of cnn net of deep learning and the test example)

1D empirical mode deomposition implementation in matlab