MicrobeTracker-0.937

matlab code for optimal power flow using ga

了解隐马尔科夫模型HMM的概念、组成和需要解决的问题；通过matlab分析和三个基本算法分析读研和就业问题：forward算法、Viterbi算法和Baum-Welch算法(Understand the concept of Hidden Markov Model HMM, composition and problems to be solved matlab analysis by three basic algorithms: forward algorithm, Viterbi algorithm and Baum-Welch algorithm)

As significant work was done in machine learning in past two decades, we have limited to recent articles in machine learning. A brief review of machine learning and its application can found in [Duttion and Conroy,1996). The most common supervised learning method and major implementation to various machine learning applications is artificial neural network as ANNs.

神经网络，最小偏二乘回归，改变原始数据即可使用(Neural network,etc. Could be applied for other cases if altering the original data)

shape model detection

对数谱距离计算的matlab 实现，可以用于语音增强时性能比较。(log spectrum distance computation with matlab, you can use it for speech enhancement evaluation)

matlab带噪声周期信号的自相关运算代码仿真有图(autocorrelation matlab periodic signal with noise)

matlab编写的有关神经网络的三个小程序，其中包含bp网络，lvq网络和sofm网络(matlab prepared by the neural network of three small program, which includes bp network, lvq networks and sofm Network)

电动机拖动simulink模型，调节pi控制器的参数模拟控制效果，另附程序运行结果图(Drag motor simulink model, adjusting the parameters pi controller analog control results, an additional program to run the results of Figure)

crossover and mutaion for binary genetic algorithm