libsvm-predict

基于核分析的多类分类器，支持向量机的多类分类，适合研究学习，欢迎同行下载(Kernel-based analysis of the many types of classifier, support vector machine multi-category classification, suitable for study of learning, welcomed the peer download)

图像扫描的zigzag程序,可用于图像处理的水印程序，图像压缩等等(zigzag )

MATLAB神经网络30个案例分析程序和数据(MATLAB neural network analysis of 30 cases the programs and data)

the code file that is uploded is harmfreq file

klobuchar模型需要导航文件和观测文件(The Klobuchar model requires navigation files and observation files)

说明：  掌握几种简单的数值解法，包括Euler方法、R-K方法、线性多步法 (shu zhi fen xi zha chi )

谱估计的welch算法、周期相关图谱估计算法(Welch spectral estimation algorithm, cycle-related pattern estimation)

产生一定载波频率、重复频率及脉冲间隔的高斯形脉冲信号(Produce gaussian signal with certain repetition frequency, the carrier frequency and pulse interval)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

用matlab写的，在一堆网格点上进行三角化，mycrust为主程序(Using matlab written on a pile of grid points to triangulate)