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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)

非常好的信道衰落教材~涵盖了很多方面的知识(Very good fading ~ covers many aspects of teaching knowledge)

说明：  求解一元二次方程的遗传算法代码 在Matlab下可以运行(Solving a quadratic equation of the genetic algorithm code)

Matlab在时间序列分析中的应用，一般可以用excel实现时间序列的分析，在这里也可以用MATLAB(The application of Matlab in time series analysis, generally can use excel realize time series analysis, here you can also use Matlab)

ofdm transmission involves each and every single block of the ofdm transmitter with exact output

单神经元PID对二阶延迟系统的仿真程序。(keyword：single nuron、PID、MATLAB)

说明：  LMS算法的MATlab仿真分析，结果表明LMS算法有较好的噪声消除效果！(LMS algorithm MATlab simulation results show that the LMS algorithm has better noise reduction effect!)

说明：  遗传算法的数学基础，初学者由浅至深学习GA算法(The mathematical basis of the genetic algorithm, GA beginners learning algorithm by the shallow deep)

贝叶斯分类器的分类原理是通过某对象的先验概率，本文详细介绍贝叶斯分类器，使用贝叶斯分类器对样本进行训练分类，得到良好分类结果，并对分类结果进行分析。(Principle of Bayesian classifiers is through prior probability of an object, the paper describes Bayesian classifier, Bayesian classifier using the training sample classification, the classification results are good, and the classification results were analyzed.)

Program GUI Matlab sederhana dengan keunggulan sistem grayscale