BC_v3.24

this is the start casecade program. it is very useful for beginer.

This paper is based on artificial neural network. artifivial neural network is a patter recognition mechanism that resembles the human brain. It have input layers, hidden layers and output layers. ANN provides beter recognition accuracy than other classifiers.

Reinforcement Learning 中以 Q learning 學習的倒單擺實驗。以x,x_dot,theta,theta_dot作為狀態參數 state，利用model模擬之結果做Q值更新，產生Q table，對學習平衡控制。結果以csv檔作為輸出，可以由使用者作圖觀察變化。(Reinforcement Learning , utilize Q learning for An inverted pendulum system control。x,x_dot,theta,theta_dot as state variable，use model result renew Q table，control learning of balance pole 。output csv file contain trail(times),balance time(sec).it s better observe the change if user plot it. )

飞机姿态的系统调整，依据机头倾角，进行反馈控制(simulink)

个人所得税分配方案设计 使用 mlatlab进行仿真(matlab geren suodsui)

MatLab图形绘制功能口令及代码，很不错，值得看看(MatLab graphics rendering capabilities password and code, very good, worth a look)

D2D underlay Matlab simulator.

说明：  卡尔曼滤波的算法，有两个程序。同时有对应的说明和论文。(Kalman filter algorithm, there are two procedures. At the same time, there are corresponding explanations and papers.)

说明：  目标函数的几种极值求解方法,包括最速下降法，拟牛顿法，共轭梯度法MATLAB实现(The objective function to solve several extreme methods, including steepest descent, quasi-Newton method, conjugate gradient method)

通过小波理论与回归分析提取桥梁的活载与劣化效应(Live load and deterioration effects of the bridge)