搜索资源列表
测试PSO算法的新的组合测试函数
- Novel Composition Test Functions for Numerical Global Optimization func_test.m is the main program, a basic PSO algorithm PSO_func.m is attached. SIS_novel_func.m is the function program,including six composition functions f=SIS_novel_func(x,f
BCS_
- 贝叶斯压缩感知的仿真程序，此程序使用LAPLACE先验，-This is a simple example to test the fast Laplace algorithm from the following paper: S. D. Babacan, R. Molina, A. K. Katsaggelos. bayesian Compressive Sensing using Laplace Priors
DM4
- 执行流程： 1. 用户输入参数：K的选择，训练数据，测试数据的路径； 2. 读取训练数据集和测试数据集文件，用ArffFileReader类读取并组织起InstanceSet数据结构； 3. 利用上面的相似度量标准，对每一个测试集中的Instance，计算与其最相似的K个训练集中的Instance，通过投票进行分类，将分类结果存储经Instance的成员变量targetGuess中； 4. 对分类结果进行度量，包括分类正确率，各种类别实例的Precision，Recall；Con
find_the_marble
- 利用动态规划算法解决猜测弹珠位置的问题Alice and Bob are playing a game. This game is played with several identical pots and one marble.-Alice and Bob are playing a game. This game is played with several identical pots and one marble. When the game starts, Alice puts th
m
- 该程序试图考察一组数据服从哪种分布（正态，指数或双边指数），并利用K-S检验对各种分布作了检验。-The program attempts to examine a set of data subject to which distribution (normal, exponential or bilateral index), and use KS test has been tested in a variety of distributions.
proj10-01
- 在试验中编写程序实现了K均值聚类算法,K均值聚类的原理是：在训练样本中找到C个聚类中心，每个聚类中心代表一个类的中心。然后将样本归类到与其最近的聚类中心的那一类。 C的选择是通过先验知识或经验选取的。聚类中心是通过算法迭代求得的。-In the test preparation process to achieve a K means clustering algorithm, K means clustering principle is: in the training samples to
kstest
- 非参数检验中K-S检验的matlab实现-Non-parametric test in the KS test matlab implementation
Diffusion-system-of-concentration-
- 扩散系统之浓度分布的装置。管中储放静止液体B，高度为L=10 ㎝，放置于充满A 气体的 环境中。假设与B 液体接触面之浓度为3 C 0 0.01mol m A = ，且此浓度不随时间改变 而改变，即在操作时间内( h = 10天)维持定值。气体A 在液体B 中之扩散系数为 D m s AB = 2×10− 9 2 。试决定以下两种情况下，气体A溶于液体B中之流通量(flux)。 (a) A 与B 不发生反应； (b) A 与B 发生以下之反应 A+ B→
Up_timingBYM
- A timing error detector for Communication systems with simulink. # Required versions Matlab 5.2.1, Simulink 2.2.1 # File descr iption 1. ti_det1.m (simulink version 5.2.1) An s-function to be used for timing detector. For detailed i
AWGN-PDFaCDF
- 加性高斯白噪声信道的仿真。利用BOX-MULLER算法产生信道，画出PDF曲线。采用基于CDF的K-S TEST来检测所产生的高斯信道是否符合理论分布。-Additive white Gaussian noise channel emulation. BOX-MULLER algorithm to generate the channel, to draw PDF curve. Based on the CDF of KS the TEST to detect the generated Gau
Rayleigh-PDFaCDF
- 瑞利信道的仿真。画出PDF曲线。采用基于CDF的K-S TEST来检测所产生的瑞利信道是否符合理论分布。-Rayleigh channel simulation. Draw the PDF curve. CDF KS the TEST detection of Rayleigh channel is in line with the theoretical distribution.
ks
- KS2D1S K-S test in two dimensions, data vs. model (14.7) KS2D2S K-S test in two dimensions, data vs. data (14.7)-numerical recipes
program
- 动态K-S检验边缘分布的copula 分布估计算法- Marginal distribution in copula estimation of distribution algorithm based dynamic K-S test
program-two
- 静态K-S检验下的copula 分布估计算法边缘分布的研究- Marginal distribution in copula estimation of distribution algorithm based static K-S test
sgu262
- sgu262：Symbol Recognition(状压DP) 题目大意： 给出k个n∗ m的01矩阵Si，求出一个1尽量少的n∗ m的01矩阵P，满足k个矩阵与该矩阵的交互不相同，也就是说通过该矩阵能表示出给出的k个矩阵。-262. Symbol Recognition time limit per test: 0.25 sec. memory limit per test: 65536 KB input: standard output:
knn
- 一个简单的KNN实现,利用距离测试点最近的k个点的所属类别，进行投票表决，票数多的即为测试点所属的类别-the algorithm of k-nearest neiberhood to judge the test data s classification
KS样本划分代码
- K-S，即kolmogorov检验法，亦称拟合优度检验法。用来检验给定的一组数据是否来自分布F=F0，原理是若H0成立，则max|v/n-F0(qj)|应该很小，用手算几乎在绝大多数情况下是不可能的，通常借助统计软件，如SAS，S+等(K-S, namely Kolmogorov test, also known as goodness of fit test. It is used to test whether a given set of data comes from the distr