资源列表
rbf
- 分类器，径向基函数实现，使用matlab,待分类函数点可自行修改。-RBF classificaiton written in matlab
sinc
- 粒子群算法优化极限学习机的参数，实现SINC函数拟合-The particle swarm algorithm to optimize the parameters of the extreme learning machine, realizes the SINC function fitting
TCA-AAAI2012-version2.0
- 首先从一个源域中获得标记文本数据，然后对目标域自动训练文本分类器从而实现跨域的文本分类-automatically train a precise text classifier for a target domain by using labeled text data from a related source domain.
GA_BPNN.C
- 遗传算法优化神经网络GA_NN.C语言,同步进化BP网络的拓扑结构和连接权值，避免了网络结构的选择和设计,非常实用。-Genetic algorithm optimization neural network GA_NN.C language, synchronization topology and evolution BP network connection weights, avoiding the selection and design of the network structur
DataSet
- 几种UCI数据集，整理为excel格式，可以直接导入matlab中使用。-Several UCI datasets, finishing as excel format that can be used directly into matlab.
NB
- 朴素贝叶斯分类器，Data为总数据矩阵,Train_Dat为训练样本,Test_Dat为测试样本，用来实现对测试样本进行分类~可以从UCI下载数据调用使用~-Naive Bayes classifier, Data for the total data matrix, Train_Dat of training samples, Test_Dat test sample, the test samples were used to achieve the classification of ~
somdemo.tar
- 自组织映射神经网络java源代码 myeclipse工程文件可直接导入使用-self-organizing maps nerual network java source code
BP-neural-network
- 基于BP神经网络的人口预测，利用神经网络和以往的历史数据，进过训练然后进行预测-A prediction of total population based on BP neural network
JAVA-decisiontree
- 本程序由Java编写，运行前请确认您的电脑上已安装JDK1.7或以上版本并配置好JDK的系统环境变量。请使用Eclipse集成开发导入源代码-The Algorithm of Decision Trees: ID3 and C4.5
rough-set
- 基于粗糙集的图像语义自动标注分类算法代码-Image semantic auto-tagging based on rough set classification algorithm code
A-simple-Wiener-process-matlab-code
- 一种简单维纳过程的matlab代码,并包含画图代码。-A simple Wiener process matlab code
quantum
- 遗传算法的量子版本，是我自己改进的，有一定的价值-Quantum Genetic Algorithm version, is my own improvement, there is some value