-
NSGA-II
说明： MATLAB的NSGA改进后的算法(MATLAB' s NSGA improved algorithm)
- 2010-04-21 09:30:28下载
- 积分：1
-
C_Class_Vehicle_EPS_Simulink
以自动控制原理和汽车理论课程为理论基础，建立了汽车二自由度系统模型以及电动助力转向系统模型，并进行仿真。利用已经建好的车辆模型和转向系统模型，还可以实现与CarSim等车辆动力学软件实现联合仿真。(Based on the theory of automatic control and automobile theory, a vehicle two degree of freedom system model and an electric power steering system model are established and simulated. Using the built vehicle model and steering system model, it can also realize the joint simulation with CarSim and other vehicle dynamics software.)
- 2021-01-19 10:48:43下载
- 积分：1
-
MATLAB_neural_network_toolbox_in_the_river_water_q
运用matlab神经网络工具箱，在水质质量中进行预测(Use of matlab Neural Network Toolbox, to predict the water quality in the)
- 2010-12-18 19:56:55下载
- 积分：1
-
AntennaandEMmodelingwithMATLAB
天线和电磁场利用Matlab建模仿真计算超全资料(Antennas and electromagnetic field simulation using Matlab modeling ultra-wide data)
- 2009-07-12 11:02:57下载
- 积分：1
-
2
《Matlab与C++》这本书的第2章，包含matlab程序和C++程序(" Matlab and C++" Chapter 2 of this book, including the matlab program and C++ program)
- 2011-08-24 10:20:05下载
- 积分：1
-
PadeMethod
Pade递推算法，完成插值，收敛快，精度较一般多项式插值高(Pade recursive algorithm to complete the interpolation, convergence and accuracy higher than the general polynomial interpolation)
- 2010-06-18 16:46:08下载
- 积分：1
-
MATLAB-book
这是一本很好的matlab教程，对matlab的学者有很大的帮助(this book shows the basis contents of matlab,it can help the man who study matlab.)
- 2009-10-14 16:52:05下载
- 积分：1
-
compression_3
说明： 在神经网络中用求协方差矩阵的方法对人脸图像进行压缩及恢复(In the neural network covariance matrix using the method of face image compression and restoration)
- 2010-05-05 09:33:10下载
- 积分：1
-
model2-2009011537
模式识别对升高体重数据的fisher方法分析，模式识别作业二(Pattern Recognition the increased weight data fisher analysis, pattern recognition operations two)
- 2013-02-26 11:59:23下载
- 积分：1
-
histnorm
HISTNORM Histogram normalized
[...] = HISTNORM(...) works like HIST, but the frequency is normalized
so that area sum is 1.
Bonus usage!
[...] = HISTNORM(..., plot ) plots and returns the output arguments.
Be sure plot is the last argument.
Example:
data = randn (10000, 1)
[xo,no] = histnorm(data, 101, plot )
hold on
plot (no, normpdf(no), r )
hold off
See also: HIST.
- 2011-11-18 21:12:29下载
- 积分：1
