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本人自己做的MATLAB工程文件，实现整流逆变(I own MATLAB project file, realize rectifier inverter)

强化学习是人工智能中策略学习的一种。本程序提供一强化学习事件Q-learning demo，并绘制图形进行形象化演示。(Reinforcement learning is a kind of artificial intelligence in the strategic study。This program provides a Q-learning demo with plotting.)

说明：  基于模拟退火的粒子群算法，基于自然选择的粒子群算法，基于杂交的粒子群算法(Based on simulated annealing particle swarm algorithm, based on natural selection, particle swarm optimization, particle swarm optimization based on hybrid)

function exp85 clear all p=[0:0.1:1.1] t=[22.4570 26.6012 12.6416 5.9367 6.9265 28.2432 31.5068 37.0166 7.8947 1.0398 12.7095] net=newff([0 1],[5 1],{ tansig purelin }, traingdx , learngdm ) net.trainParam.epochs=2500 net.trainParam.goal=0.001 net.trainParam.show=50 net=train(net,p,t) r=sim(net,p) plot(p,t,p,r, * ) y=sim(net,[1.2])

this is a simple matlab program which lets you read whatever you type........ in the command window just try this and hav fun...!this is my weekend project and you surely get and excellent output from this .this program drags the excel database of speech tools and so highly efficient output can be obtained....! i have presented this simle program in my college and have won price too.....!

It s easy to get scattering of particle with Mie theory. However, is it possible to get the optical property from experiment scattering spectra? See this inversion Mie theory....

利用拉普拉斯金字塔实现图像融合，红外与可见光融合、多聚焦图像融合(Using Laplacian pyramid for image fusion, infrared and visible light fusion, multi-focus image fusion)

数字信号处理，卷积，输入端算法输出端算法2合1，matlab函数编程(Digital signal processing, convolution, the output of the input algorithm algorithm 2 in 1, matlab functional programming)

1求矩阵中的 最大值 并返回所在的行数与列数。2判断一组数据满足什么分布，包括泊松分布、正态分布、卡方分布、T分布等。3 检验线性方程组 系数的输入是否有误。(1 find the maximum value and returns the matrix where the rows and columns. 2 to determine what set of data to meet the distribution, including Poisson, normal, chi-square distribution, T distribution. 3 Coefficient of linear equations test input is wrong.)

Weighted covariance function. Allows to give more weight on recent observations.