matlab_codes_ml5

计算光子晶体透射的FDTD程序的matalb源程序(Calculation of photonic crystal transmittance of FDTD procedure matalb source)

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

采用simulink建立的直线电机模型，可供研究人员参考，具有一定的参考价值(Linear motor model simulink established reference for researchers, with some reference value)

Evaluation of Queue Management Algorithms

风机光伏的simulink建模，能够很好的仿真风机与光伏的特性，可以扩展为任意微网或者配网中的分布式发电模块(Fan PV simulink modeling, simulation can be a good fan and photovoltaic properties, can be extended to any micro-network or distribution network of distributed generation module)

说明：  偏最小二乘工具箱，解压后可直接在matlab中调用m文件(Partial least squares toolbox, after decompression can be directly invoked m file in MATLAB.)

一阶梯度法、共轭梯度法、变尺度法分别求解Wood函数，并得到此时的自变量值(The step degree method, conjugate gradient method, variable metric method for solving Wood function, respectively, and with the value of the independent variables at this time)

Algorithm for using genetic algorithm in financial analysis

This is a Mat Lab code for predicting the hysteresis behaviour of any structural system using Bouc Wen Baber Noori (BWBN) model.

这是较好的Matlab源代码，希望此代码能对大家有所帮助。(This is a better Matlab source code, I hope this code can be helpful to everyone.)