neural-net-code-

说明：  MATLAB 干系结构计算程序时候matlab有限元计算新手学习(MATLAB computation program stakeholders when novice learning finite element matlab)

使用遗传算法优化电动汽车传动比的适应度函数源代码(Genetic algorithm on power-train optimization of EV)

RLS算法 自适应算法中的RLS算法. 即是递归最小二乘算法(RLS algorithm in the adaptive algorithm of the RLS algorithm is the recursive least squares algorithm)

用多种方法对心电进行去噪，对初学者有很好的帮助(ECG using a variety of methods for denoising, good for beginners to help)

matlab simulation program for MSK transmission systems

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)

matlab实现图像加网功能，利用抖动算法(implementation of digital screening,using dithering algorithm)

一维有限差分,利用matlab写的代码，有一定学习意义，可以解决一些工程问题(1-D FDTD code with simple radiation boundary conditions)

求解接触刚度，用经典的Hertz方法求解理想情况下 刚度随载荷变化的关系(contact stiffness)

bartlett 波束形成，可实现matlab仿真分析 程序包括注解等必要说明(bartlett beamforming)