BP

Matlab code for COST207

TFB Demonstrates time domain equalizer filter bank design functions, To start the demo type "tfb". For more information use the "info" button after startingthe demo.

Matlab非平稳时间序列，很经典啊！，谢谢这个网站(Matlab non-stationary time series, classic ah! Thank you, this site)

说明：  高校图象处理,里面的图画可以自己去找一张然后放到程序指定路径即可(college image processing, the picture inside themselves and they can then put a process can be designated trails)

说明：  遗传算法，双层编码，解决柔性作业车间调度。(Genetic algorithm, double-layer coding, to solve flexible job shop scheduling.)

Function LOADWAV: loading of WAV-formated signal to vector. Usage: sig=loadwav(filename[,channels,length])

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)

MEL 求解GMM模型的参数matlab环境下的源代码，和大家分享(MEL Solving GMM model parameters Matlab environment of the source code and share)

document example example

d维空间中N个点，求这些点的最小体积覆盖椭球。 算法：针对其对偶问题，采用Franke-Wolfe序列线性逼近策略，逐次求得最优乘子，进而求出椭球的相关参数，又称Khachiyan一阶导数算法。 适用范围：中小规模数据集(Minimum Volume Enclosing Ellipsoid； MVEE)