资源列表
untitled
- 利用支持向量机技术建立传感器的回归模型。利用粒子群算法优化回归模型参数，以达到提高建模效率及精度的目的。-The support vector machine technology to build the regression model of the sensor. Utilizing particle swarm optimization of the parameters of the regression model, in order to achieve the purpose t
TPF
- Transient Pipe Flow: Compute the transient velocity profile of a flow in a pipe.
MALC
- MA Levin-Campello 算法，信道计算-MA Levin-Campello s Algorithm
cengcifenxifa
- 层次分析法matlab源程序 -AHP matlab source
EigenfaceCore
- To find the Eigen values
FDTDzhalan
- 激励源为高斯脉冲波形的二维 平行板FDTD（时域有限差分）TM波仿真-Excitation source for the two-dimensional Gaussian pulse waveform parallel plate FDTD (Finite Difference Time Domain) TM wave simulation
splitmerge559.m
- a function to perform simple split-merge segmentation
fuzzy1picontroller.m
- Fuzzy Pi without Disturbance for control system
bianzhiwenti
- 使用MATLAB求解最值问题，在程序中改变方程以及约束条件即可-Use MATLAB to solve the maximum problem, change the equation in the program as well as the constraints to
ICA-matlab
- ICA算法的研究可分为基于信息论准则的迭代估计方法和基于统计学的代数方法两大类，从原理上来说，它们都是利用了源信号的独立性和非高斯性。一般情况下，所获得的数据都具有相关性，所以通常都要求对数据进行初步的白化或球化处理，因为白化处理可去除各观测信号之间的相关性，从而简化了后续独立分量的提取过程,然后再用基于负熵最大的FastICA算法，即可对图像及信号进行解混。-ICA algorithm research can be divided into iterative estimation meth
fenbunihe
- 生成随机数，进行均匀分布和正态分布拟合，设置置信度为0.95，可以自动判断是否拒绝原假设-Generate random numbers, uniform distribution and normal distribution fitting, set confidence of 0.95, can automatically determine whether to reject the original assumption
Lid_Driven_Cavity
- 空腔顶盖驱动流,二维九速度模型，LBM方法。-The lid driven flow in cavity, written in matlab language(D2Q9, LBM solver).