matlabhelpcn

自已编的一个matlab的harris角点检测的代码(Their own for a matlab the harris corner detection code)

该程序是基于小波变换的熵谱，用来提取时间序列的周期成分。熵谱相对于小波谱来说在提取周期成分上有一定优势(The program is based on spectral entropy of wavelet transform to extract time series of the periodic component. Entropy is relative to the small spectral component in the extraction cycle, there are some advantages)

qpsk经典小程序，调通了的程序，欢迎大家下载哦(qpsk classic applets, tune talked procedures, welcome to download oh)

图的 领结表 表示 程序中有较多注释 方便别人读 增加可读性(Map tie the table means that the program has more comments To facilitate others to read to increase readability)

RNNSIM ver. 1.0 is a program with an intercative graphical user interface (GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used in training and testing the Random Neural Network(RNN) models. This version (ver. 1.0) implements only the 3 layer feed forward RNN model. In the next versions, the multi hidden layers and the recurrent RNN models can be implemented. To obtain faster training, the training section can be written as a MEX file and invoked from the GUI. If you have the m files in the directory rnnsim for example, then you can run the program following the next steps: 1- run MATLAB as usual 2- from the MATLAB command window, write cd rnnsim 3- from the MATLAB command window, write rnnsim

说明：  用来对图书馆排队借书的情况进行仿真，假设只有一个对列时的仿真程序见源代码，用的MatlAB写的(Library queue library used to simulate the situation, assuming that only one simulation program when the column, see the source code, written with the MatlAB)

GMDH_main为GMDH主函数； variable_Combin为输入层初始变量选为x1,x1^2,x1*x2,x2^2,x2时的输入变量矩阵值 variable_select计算X_train训练输入数据,Y_train训练输出数据,X_test测试输入数据,Y_test测试输出数据 Combin为求变量的两两组合 Sym_Combin为求符号变量的两两组合 PE_AIC求每层各神经元的参数估计W，及训练数据在参数估计后估计的输出out_train，测试数据在参数估计后的估计输出out_test，还有与实际比较的误差平方和PESS， 以及准则值AIC sym_representation求最终的输入输出符号表达式 Criterion_value求准则值 (GMDH_main main function for the GMDH variable_Combin initial variables chosen for the input layer, x1, x1 ^ 2, x1* x2, x2 ^ 2, x2 the value of the input variable matrix calculation X_train variable_select training input data, Y_train training output data, X_test test input data, Y_test for the sake of the test output data Combin pairwise combination of variables for the sake of symbolic variables Sym_Combin pairwise combinations PE_AIC neurons find each parameter estimation of the W, and after the training data is estimated in the estimation of output out_train, test data After the parameter estimates of the output estimated out_test, also compared with the actual sum of squared errors PESS, as well as the final criterion value AIC sym_representation seek the input and output values ​ ​ of symbolic expressions Criterion_value find criteria)

说明：  MATLAB中，使用遗传算法（GA算法）求某个函数的最小值，最基础的遗传算法实现(Using genetic algorithm to find the maximum value of function)

hough变换检测椭圆的MATLAB程序(hough detection codes to detect shapes in images)

matlab source code from mathworks