资源列表
kernelECA
- 该程序提供了核熵成分分析的matlab实现，可应用于机器学习-Kernel Entropy Component Analysis
machinelearning
- 机器学习 贝叶斯对wine数据集进行分类-Machine learning Bayesian classifying wine data set
SA_CVRP
- 模拟退火法实现CVRP问题求解，对应Taillard问题数据集-Simulated annealing CVRP achieve problem solving, data sets corresponding to the problem Taillard
elm_kernel_trainapredict
- Kernel_ELM传说中的核-极限学习机，基于官网给的版本，拆分成了训练和预测两个模块，方便大家得到训练模型和预测标签-Kernel_ELM, Extreme Learning Machine using Kernel，including two modules as train & predict
ball-tracking-demonstration
- nao机器人的追踪球程序，非常适合nao机器人演示或学习用。-Nao robot tracking ball program, very suitable for Nao robot demonstration or learning.
LIDCtoolbox_v1.3
- LIDC 2图像工具箱(Matlab)——从XML文件中提取单个注释,并将之转换为和DICOM图像,在Matlab TIF格式更容易处理(LIDC-IDRI数据集)。-LIDC 2 Image Toolbox (Matlab)- for extracting individual annotations the XML files and converting them, and the DICOM images, into TIF format for easier processing i
SSELM-and-USELM
- 半监督核无监督极限学习机，用于半监督核无监督学习，比传统方法速度略快，且可以直接应用多分类问题-A semi-supervised nuclear unsupervised extreme learning machine, used for a semi-supervised kernel unsupervised learning, slightly faster than the traditional methods, and can direct application classif
CHENGXU
- 多个移动机器人编队控制，一字型，菱形，有时延，无时延-multiple mobile robots formation control
matlab_efwa
- 增强型烟花算法matlab源代码！文章最初由杜振鑫发表，后来北大博士重新修改后发表，这是源代码-the cod of enhanced fireworks algorithm
GA_CVRP
- 用遗传算法和模拟退火实现的限重的VRP(CVRP),250个customer，一个仓库，数据文件在里面，导入eclipse就可以运行。-this is a hybrid algorithm of GA and SA to solve CVRP problem, which is devopled on eclise with java.it contains a input dataset involved with 249 customers and one single depot.
text
- 采用相似日和BP神经网络算法，对光伏处理进行预测-A similar date and BP neural network algorithm, to predict the photovoltaic process
GA-PSO
- 遗传算法和粒子群算法以及网格搜索法优化神经网络SVM的高斯核参数和惩罚参数-Optimization of Genetic Algorithm Neural Network SVM Gaussian kernel parameters and penalty parameter