资源列表
Triangulation2d
- 另一种快速三角划分算法，也是很快，但是没有优化。-very fast method，but not the best！！！！
mesh
- 关于有限元分析网格化分的程序，一般用于有限元分析的前处理阶段。-On sub-grid finite element analysis program, generally used for finite element analysis of pre-processing stage.
Kmean
- Kmean 算法Matlab实现，数据为二维高斯随机分布点-Kmean algorithm by Matlab, the data points for the two-dimensional Gaussian random distribution
timeseries.m
- 小波神经网络来对时间序列进行预测\小波神经网络来对时间序列进行预测-Wavelet neural network to predict the time series \ wavelet neural network to predict the time series
SVM
- SVM核心思想是:对于输入空间中非线性可分的情形,选择一个适当的非线性映射,将输入空间中的样本点映射到一个高维空间,然后通过一系列核函数、参数因子的选择得到最优分界面。-SVM core idea is: For the non-linear input space can be divided into the case, select an appropriate nonlinear mapping the input space sample point is mapped to a hi
model
- 支持群决策过程建模的层次影响图模型Support group decision-making process modeling level influence diagram model-Support group decision-making process modeling level influence diagram model
rough
- Distance-based model and application of intuitionistic fuzzy rough基于距离的直觉模糊粗糙模型及应用-Distance-based model and application of intuitionistic fuzzy rough
LQR-base
- LQR-based variable gain control method automatically inverted pendulum swing-up基于变增益LQR控制方法的二级倒立摆自动摆起-LQR-based variable gain control method automatically inverted pendulum swing-up
AHP
- AHP and DEA on the non-uniform method of Grey基于AHP和DEA的非均一化灰色关联方法-AHP and DEA on the non-uniform method of Grey
zuixiaobanjinfangzhendaima
- 最小半径泊车方法仿真代码，实现最小半径泊车方法的仿真，车辆参数如车长、车宽、转弯半径以及车位的参数如车位宽度、长度均可调。-Minimum radius of the parking method simulation code to achieve the minimum radius of the parking method of simulation, the vehicle parameters such as vehicle length, vehicle width, turnin
budengbanjinfangzhendaima
- 不等半径泊车方法仿真代码，实现不等半径泊车算法的仿真，车辆参数如车长、车宽、转弯半径以及车位参数如长度、宽度均可调。-Simulation code radius ranging from parking way to achieve a radius ranging from parking the simulation algorithm, vehicle parameters such as vehicle length, vehicle width, turning radius and
victoria_park
- 悉尼大学SLAM团队的基于道路特征提取的探测树方法，直接运行viewLsr.m文件即可。-University of Sydney team based SLAM detection tree path feature extraction methods, directly run viewLsr.m files.