资源列表
the-four-step-ranger-r-k
- 四阶经典R-K方法的Matlab程序和newton的matlab程序的实现-Matlab program to achieve the classic fourth-order RK method and newton s matlab program
HellokinectMAT
- 感知行为的影响因素包括单个关节的动作和不同关节的组态。因此提出一种新的基于关节的位置差异的特征类型，联合包括静态姿势、动作、位移在内的行为信息进行识别。采用关节在两个时间和空间区域的差异来明确地模拟个别关节动力学和不同关节的组态。然后应用主成分分析（PCA）来获得所需的特征。同时应用非参数的简捷的贝叶斯最近邻（NBNN）分类器进行多类行为的分类。这个NBNN分类器避免了帧描述符的量化，计算“图像到类别”的距离而不是“图像到图像”的距离。15到20帧的数据就足以实现手势以及动作的识别，无需应用整个
fuzzy-control
- 模糊PID控制程序，制定了模糊规则，pid控制更加精，在经典PID控制基础上加上模糊控制，是控制速度更快 -Fuzzy PID control procedures, developed a fuzzy rule, pid control is more refined, based on the classic PID control plus fuzzy control, control faster
BUC
- 数据挖掘算法BUC，计算稀疏冰山立方体的 C++实现-Data mining algorithms BUC, computing sparse iceberg cube C++ realization
cluster_jl
- 这是论文Fast_unfolding_of_communities_in_large_networks的MATLAB代码，是一种静态社区发现算法-This is the thesis Fast_unfolding_of_communities_in_large_networks MATLAB code, is a static community discovery algorithm
GAHETNET
- 采用人工智能方法-GA（遗传算法）实现异构网络环境下的小区选择-Using artificial intelligence methods-GA (genetic algorithms) to achieve cell selection in heterogeneous network environments
a4da35a45805
- 动态聚类的k-means图：正确的程序分出的输入数据-K-means clustering dynamic figure: the correct procedures to separate input data
69b2bf05df5a
- 模糊C均值聚类的MATLAB实现，其中包含了10个MATLAB函数--MATLAB fuzzy C-means clustering to achieve, which contains 10 MATLAB functions-
num
- 单隐层神经网络 利用Hebb学习方法将污染的数字图形收敛原图形到-Single hidden layer neural network learning methods use Hebb contaminated raw graphics to the convergence of digital graphics
2
- 用BP神经网络实现给定轨迹的二维机械臂拟运动学计算与控制-BP neural network to achieve a given two-dimensional trajectory calculation and control manipulator kinematics proposed
game-theory
- We consider the scheduling of simple linear deteriorating jobs on parallel machines a new perspective based on game theory. In scheduling, jobs are often controlled by independent and selfish agents, in which each agent tries to a machine for process
HelloPassword
- arduino如何设置密码,想学习arduino的学者可以-How to set scret of arduino