BLDC_5_44_phase_fun

finds zero crossings of a speech signal

这是我自己用MATLAB编的一个扫雷小游戏,程序比较经典,希望和大家一起分享.(This is for my own use MATLAB series of the game a small mine, the procedure is classic, want to share with everyone.)

：介绍遣传算法的基本原理和Matlab的遗传算法优化工具箱(GAOT)，分析了优化工具函数。探讨Matlab遗传算法工具箱在 参数优化和非线性规划中的应用。通过优化实例，说明遗传算法是一种具有良好的全局寻优性能的优化方法。用Maflab语 言及Maflab语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比较灵活、编程效率高等特点。(: Removal algorithm introduce the basic principles and Matlab Genetic Algorithm Optimization Toolbox (GAOT), an analysis of function optimization tool. Explore the Matlab Genetic Algorithm Toolbox in the parameter optimization and nonlinear programming applications. Through optimization examples to illustrate the genetic algorithm is a good global optimization method to optimize performance. Maflab language and using language Maflab Optimization Toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency.)

说明：  梯度下降法是一個一階最佳化算法，通常也稱為最速下降法。 要使用梯度下降法找到一個函數的局部極小值，必須向函數上當前點對應梯度（或者是近似梯度）的反方向的規定步長距離點進行疊代搜索。如果相反地向梯度正方向疊代進行搜索，則會接近函數的局部極大值點；這個過程則被稱為梯度上升法。(The gradient descent method is a first-order optimization algorithm, also commonly referred to as the steepest descent method. To find the local minimum of a function using the gradient descent method, an iterative search must be performed to the specified step distance point in the opposite direction of the gradient (or approximate gradient) of the current point on the function. If the search is reversed in the opposite direction to the positive direction of the gradient, it will approach the local maximum point of the function; this process is called the gradient ascent method.)

说明：  一个有关于MATLAB LMI方面的实例(An example of respect on the MATLAB LMI)

this is the fan speed motor control that input is torque and output is speed

matlab GMSK modulation

实现电力系统的潮流计算，采用的事PQ方法来编程(Achieve power flow calculation method used to program the things PQ)

this code about classification with KKN algorithm

具有新的模拟进化优化方法的有效性和应用价值的一群算法的matlab实现(Matlab implementation of the new analog evolutionary optimization approach the effectiveness and value of a group of algorithms)