资源列表
CMA-MA-GA-PSO
- 用c语言写的猴群算法，并附上相关的测试函数。并和pso，ga算法进行比较-the source code of monkey algorithm
randomforest-matlab
- 基于随机森林思想的分类和回归算法，调试通过。-Random forests classification and regression algorithm based on the thought of.
matlabcode
- 我2011年全国大学生电工数学建模一等奖论文，里面提出了三种方法来对风电功率的预测，分别是灰色预测、时间序列分析、神经网络。而本文最重要的一个创新点就是加入了一个反馈控制系统 很好地控制了预测精度，maltab代码也已经附在后面了,单独的程序也整理出来了，都是很好的学习资料-And this is the one of the most important innovations have joined a feedback control system to control the predi
logistic-regression
- 用java实现了逻辑回归的算法,压缩包中有测试数据可以使用.-Using java to implementation a logistic regression algorithm, the compressed package including test data.
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
Flexible-neural-network(FNN)
- 开关磁阻电机，直接转矩控制，速度闭环，柔性神经网络自适应PID控制，转矩脉动可达2 -Switched reluctance motor, direct torque control, closed loop speed, flexible neural network adaptive PID control, torque ripple of up to 2
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