Example2_4_1

This code will find the best neural network by training a lot of times and calculating the MSE

说明：  我编写的利用trous（多孔算法）实现小波变换，利用‘db4’小波函数分解两层，其中卷积运算采用频域的fft算法，给出了仿真信号的处理结果。(prepared by the use of trous (porous algorithm) to achieve wavelet transform, use 'db4' wavelet decomposition layers, which used convolution operators fft the frequency domain algorithm, given the signal processing simulation results.)

Matlab source codes for dynamics of structures numerical solution.

说明：  function form refrence matrixP

music 算法仿真 三维仿真图像，可运行(music algorithm for simulation of three-dimensional simulation images, can run)

This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.(This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm. )

matlab单逆变器PID控制的仿真模型(The simulation model matlab single inverter PID control)

this code makes the weka tool accepts arabic language

卡尔曼滤波器的NNF算法,可以用来对飞行器的轨迹进行预测(Kalman filter using the nearest neighbor filter for data association algorithm)

计算机随机模拟日期才用泊松分布，利用指数分布求出时间(Before the date of the computer random simulation with Poisson distribution, calculated using exponential distribution of time)