boost

小波分析理论及MATLAB7实现的例程,第18章 小波变换在故障诊断中的应用(Wavelet analysis theory and realize MATLAB7 the routines, Chapter 18 Application of Wavelet Transform to Fault Diagnosis)

一个BP神经网的学习过程，实现预测功能。(A BPN )

说明：  六个傅里叶变换的例子，包括DFT，DTFT等(Fourier transform of the six examples, including DFT, DTFT, etc.)

说明：  本例是线性规划单纯形法matlab实现程序，朋友们如有需要请下载。(This example is linear programming simplex method matlab implementation procedures, if necessary, download friends)

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

支持向量机的回归拟合——混凝土抗压强度预测,介绍SVM回归拟合的基本思想和原理，并以实例的形式阐述其在混凝土抗压强度预测中的应用。(Support vector machine regression- concrete compressive strength prediction, SVM regression introduce the basic ideas and principles, and examples in the form set forth in the concrete compressive strength prediction.)

大学数学实验-清华出版社-姜启源-第2章例题源代码(Mathematics Experiment- Tsinghua University- Chapter 2 Example)

2个不同调制方式的MATLAB仿真程序，是QPSK和QAM的，都非常好(Two different modulation of the MATLAB simulation program is QPSK and QAM, are very good)

these files show 2point end line wave in some different situation

提供一种求解最优哈密尔顿的算法---三边交换调整法，要求在运行jiaohuan3（三交换法）之前，给定邻接矩阵C和节点个数N，结果路径存放于R中。(Hamilton provides an algorithm for solving optimal--- trilateral exchange adjustment method requires running jiaohuan3 (c exchange) before the given node number of the adjacency matrix C and N, the result stored in R in the path.)