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在MATLAB中用M文件编写来实现四种不同的单神经元控制器(realize single-neurons PID Controller in MATLAB)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)

K均值聚类算法，可用于预先定义好种类数的样本聚类(K means clustering algorithm)

这是用C语言编写的机动目标跟踪程序，用matlab仿真实现的。直接用于机动目标跟踪仿真。(This is written with C language target tracking procedures implemented with the matlab simulation. Directly used for maneuvering target tracking simulation.)

快速傅里叶变换在Matlab环境下的实现(Fast Fourier Transform in Matlab environment to achieve)

pwm inverter model which will be use ful to understand its working

说明：  Ode 方程解法，主要用于网站收敛,这一算福安非常的好(numerical integration for ODE for the web site convergence)

采用bp神经网络对函数y=sin（x）进行训练，然后用测试集对训练的函数进行测试，也就是函数逼近sin（x)的曲线(Bp neural network using the function y = sin (x) for training, and then use the test set to test the training function, that is, function approximation sin (x) curve)

说明：  三维重建，使用matlab编写的，效果还可以。(3D reconstruction, using MATLAB, the effect is OK.)

MATLAB 7.0编程基础基础源程序 相当好(based programming source very good foundation)