平均风速剖面

1、画出函数y=x*sin(x) 2、用曲面表示z=x^2+y^2 3、创建n阶魔方矩阵，n能被4整除 4、三维图形影片动画 5、画出N=100，p=0.5情况下二项分布的概率 特性曲线(1, draw the function y = x* sin (x) 2, using surfaces to describe z = x ^ 2+ y ^ 2 3, create a cube matrix of order n, n be divisible by 4 4, 3D graphics, animation film 5, draw N = 100, p = 0.5 case, the binomial probability curve)

modem fsk 147bps via sound card error detector and corrector requires manual sincronisation and aquisition using simulink

its a simulation of a fight with the mythical greek hydra.

说明：  MATLAB 代码 第1章 BP神经网络的数据分类——语音特征信号分类 第2章 BP神经网络的非线性系统建模——非线性函数拟合 第3章 遗传算法优化BP神经网络——非线性函数拟合 第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优 第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模 第6章 PID神经元网络解耦控制算法——多变量系统控制 第7章 RBF网络的回归--非线性函数回归的实现 ....等58章(MATLAB code The first chapter is BP neural network data classification -- speech characteristic signal classification The second chapter is the nonlinear system modeling of BP neural network nonlinear function fitting The third chapter, genetic algorithm optimization BP neural network - nonlinear function fitting The fourth chapter, neural network, genetic algorithm, function extreme value optimization nonlinear function extremum seeking The fifth chapter is based on BP_Adaboost's strong classifier design -- the company financial early-warning model The sixth chapter is PID neural network decoupling control algorithm multivariable system control The seventh chapter is the regression of RBF network the realization of nonlinear function regression .........the last is 58 chapters)

Model-Based_Predictive_Control_A practical approach，pdf图书和图书配套的matlab仿真代码(Model-Based_Predictive_Control_A practical approach, book and matlab code for this book)

[mimi,i]=min(abs(imag(disp1)-imag(disp2))) legend( LHS of dispersion relation , RHS of dispersion equation ) xlabel( u,cl ) figure(1) clc uppercuts = input( Enter number of intersection points desired: ) [g,h] = ginput(uppercuts) w = sqrt(V.^2-u.^2) s = sprintf( Constants: ) disp(s) for p = 1:uppercuts s = sprintf( u( d d) = 0.10f ,L-1,p,u(p)) disp(s) s = sprintf( w( d d) = 0.10f ,L-1,p,w(p)) disp(s)

说明：  深度学习工具箱，包括BP、CNN、DBN、CAE等多个网络。包含数据可直接运行。(Deep learning toolbox, including multiple networks such as BP, CNN, DBN, CAE, etc. Containing data can be run directly.)

数独程序，，很好用的，大家可以参考一下，呵呵呵~~~~~(Sudoku program, well used, we can refer to, Ha ha ha ~~~~~)

2_d TMz wav propagation in free space

一个火力目标分配的优化问题，matlab实现(A fire target allocation optimization problem)