cod_pid_neural

两个matlab编写的经典游戏 数独和俄罗斯方块 ( MTETRIS Matlab Tetris (v1.1) To play this game, type: MTETRIS Controls (use numpad): [4] Left [5] Spin [6] Right [2] Drop alternatively, [A] Left [W] Spin [D] Right [S] Drop [Ctrl+P] Pause/Unpause During the game, use the game menu to set difficulty and to enable/disable sound effects. Only one game can run at a time. mtetris was written and tested on Matlab 5.3 (R11), but may work with as early as Matlab 4.0 without changes. )

说明：  大家知道求解连通图的最小生成树算法很多，下面是利用MATLAB编写的常用的prim 算法，带例题哦!(We all know that solving the minimum spanning tree algorithm connected graph a lot, the following is written using common prim MATLAB algorithm, with examples Oh!)

说明：  混沌工具箱（matlab）: 产生混沌时间序列 求时延(delay time) 求嵌入维(embedding dimension) 求关联维(correlation dimension) 等等.....

DCT变换图像处理，给出了源码和实现过程，是一个毕业设计(DCT transform)

处理超声设备用线阵探头采集到的RF数据，对其进行分析，并进行成像。(signal processing)

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)

处理RD3格式的matlab工具包 ，主要实现rd3文件的读取(RD3 treatment matlab toolkit format, the main document read realize rd3)

用MOM计算V型天线的电流分布、输入阻抗及辐射方向图。其中L=0.3λ，L/a=2000，激励用δ-gap模型。(calculate the current distribution, input impedance and radiate pattern of V-antenna with MOM. L=0.3λ，L/a=2000, δ-gap source)

总结了matlab中的所有的工具箱，并给出一些例子教给我们怎么使用(Summarizes all of the toolbox in matlab, and gives some examples to teach us how to use)

prediction of voice character with BP neural network