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myworkonnnet
- 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial
bootstrap
- Matlab中实现的bootstrap源码。可用于由原始数据集生成若干个子数据集。-Matlab realized bootstrap source. Can be used by the original data sets generated a number of sub-data sets.
locallinear
- 用matlab自编的基于自适应局部线形化的软件可靠性模型.效果非常良好.源程序和数据集都有,可以直接运行.-using Matlab-based adaptive self Local Alignment of software reliability models. The effect was very good. source code and data sets have, and can directly operation.
SGNNexperiments
- 用matlab编写的基于自生成神经网络(self-generated neural network)的预测方法(包含数据集)-prepared using Matlab based on the self-generating neural network (self-generated ne ural network) forecasting methods (including data sets)
AGAandLAGA
- 两种改进的遗传算法（自适应交叉概率的遗传算法，加入领域竞争策略的遗传算法）相比较的matlab程序，基于UCI的两个数据集，可直接运行程序观察效果。-both improved genetic algorithm (adaptive crossover probability of genetic algorithm, to field a competitive strategy of genetic algorithm) compared to the Matlab procedures,
模糊c-均值算法是模糊聚类
- 模糊c-均值算法是模糊聚类中最常见、应用最广泛的分析方法之一．经典FCM算法理论和应用的研究已经相当成熟，Bezdek业已证明算法的收敛性［6］，许多软件提供了多种方便的FCM工具箱(如Matlab中FCM工具箱等)．但是传统FCM算法处理的是普通数据集，不能直接处理区间数，得到的聚类原型也不是区间数．针对区间数，一种直觉的方法是分别对左区间值和右区间值作FCM，并把得到的聚类原型分别作为区间型聚类原型的左右区间值，但这种方法已经被证明是行不通的［6］-fuzzy c-means cluster
EMfor_neural_networks
- In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial Co
somlvq
- This project compares the performance of SOM versus LVQ in classification problems. Given two data sets: ‘iris.dat’ has 150 patterns of 3 classes with 4 features. ‘wine.dat’ has 178 patterns of 3 classes with 13 features. For SOM, use its alg
CS4VM
- cs4vm算法，是实现半监督学习的较好的方法，能够对多种数据集进行测试，代码中包含例子，下载即可以使用-cs4vm algorithms, semi-supervised learning is to achieve a better way to test a variety of data sets, the code contains examples that can be used to download
mat
- 用于人工智能分类算法仿真的数据集 UCI数据集 已经过集成-Simulation of artificial intelligence classification algorithm for data sets UCI data sets have been integrated
swissroll
- 此文件包含生成swissroll数据集,并用LLE算法进行降维处理,很实用,应该对现在学习流形学习的同学有帮助。-This file contains data sets generated swissroll and dimensionality reduction algorithm with the LLE process, it is useful, it should now learning manifold learning for students help.
meanS3VM
- means3vm算法，matlab 是实现半监督学习的较好的方法，能够对多种数据集进行测试，代码中包含例子，下载即可以使用-means3vm algorithm, matlab is better to achieve semi-supervised learning methods can be tested on a variety of data sets, the code contains examples that can be used to download
fuzzyPR
- 模糊聚类的经典算法，可以使用UCI数据集进行聚类，该程序附有详细的说明-Classical fuzzy clustering algorithm, you can use the UCI data sets clustering, the program is accompanied by a detailed descr iption of
SegyMAT
- 针对目前流行的一种文件格式segy 处理的软件包，- Since the original SEG Y Data Exchange Format [revision 0, reference page 45] was published in 1975 it has achieved widespread usage within the geophysical industry. This widespread usage has brought about many proprietar
Peakfinder
- Basic function to locate and measure the positive peaks in a noisy data sets. Detects peaks by looking for downward zero-crossings in the smoothed third derivative that exceed SlopeThreshold and peak amplitudes that exceed AmpThreshold. Dete
shang
- 一种无监督的数据离散化方法，程序简单，运行时间短，效果比较显著-An unsupervised data discretization methods, procedures easy, run a short time, compared the effect of significantly
fs_entropy
- data reduction with fuzzy rough sets or fuzzy mutual information
pls
- 所谓偏最小二乘法，就是指在做基于最小二乘法的线性回归分析之前，对数据集进行主成分分析降维，下面的源码是没有删减的，GreenSim团队免费提供您使用，转载请注明GreenSim团队（http://blog.sina.com.cn/greensim）。 -The so-called partial least squares method, this means doing the least square method based on linear regression analysis pr
program-and-data-sets
- 本程序是用于在时域中分析处理轴承故障数据的，提取了各种时域的特征参数，包括均值，有效值，峭度，裕度指标，波形指标等等 适合初学者用于轴承的故障诊断中对参数的提取。（附上轴承故障数据3类共21组 正常、内圈、外圈）-This procedure is used in the time domain analysis of bearing fault data processing to extract the characteristics of various time domain param
matlab-data-generation
- 《Detecting Novel Associations in Large Data Sets》论文中生成数据实验部分的数据生成代码-《Detecting Novel Associations in Large Data Sets》based data generation