BP-neural-network

用matlab实现lagrange和Newton插值方法(Achieved with matlab lagrange interpolation and Newton)

OOK调制方式，使用matlab simulink数字调制与数字解调(OOK modulation, using matlab simulink digital modulation and digital demodulation)

MATLAB中利用龙哥库塔方法解微分方程（以铁磁学中LandauLifshitz方程为例）(Long Ge Kuta method using MATLAB, solving differential equations (in the ferromagnetic case study in the LandauLifshitz equation))

说明：  利用目标以前的坐标点完成目标未来未知位置的预测，分别利用一个到五个点来进行预测(Using the coordinates of points before the completion of target objectives of the forecast future unknown location, respectively, using 1-5 point forecast)

异步电动机数量控制完整仿真模型，可以根据实际情况写该参数，达到研究者所需要的情形(The number of complete induction motor control simulation model, the parameter can be written according to the actual situation, the researchers needed to achieve the situation)

说明：  简单的遗传算法优化bp神经网络，里面包含数据、程序(Simple genetic algorithm optimizes BP neural network, which contains data and program)

说明：  在matlab上实现通过巴特沃斯滤波器来设计数字滤波器。(In matlab to achieve through the Butterworth filter to design digital filters.)

matlab code fuzzy in simulink

The p erceptro n algo rithm ceases to update the para meters only when all the training images ar e classified corr e ctly (no mistakes, no update s). So, if the training images are p ossible to clas sify co rrectly with a linear c la ss ifier, will the p erceptr on al gorithm find such a classifier? Yes , it does, and it w ill co nverge to such a classifier in a finite numb er of updates (mistakes ). We’ll sho w this in lectur e 2.

基于运动区域和运动区域外截矩形进行运动目标检测的程序(campaign based regional and extra-regional movement closed rectangular exercise target detection procedures)