ieeepapers

说明：  Simulink资料128mdl，Simulink实例128个源程序(Simulink data 128mdl, Simulink instance 128 source programs)

粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是由J. Kennedy和R. C. Eberhart等开发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 (PSO), also known as Particle Swarm Optimization (PSO), is a new evolutionary algorithm developed by J. Kennedy and R. C. Eberhart. PSO is a kind of evolutionary algorithm, which is similar to simulated annealing algorithm. It starts from random solution and searches for the best solution by iteration. It also evaluates the quality of solution by fitness. But it is simpler than genetic algorithm rules. It has no Crossover and Mutation operation of genetic algorithm. As a result, it searches for global optimum by following the optimal value currently searched. This algorithm has attracted the attention of academia for its advantages of easy implementation, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization is a parallel algorithm)

智能优化算法及其应用，王凌著，详细介绍了智能优化算法(Intelligent Optimization Algorithm and Its Application)

黑客基地VIP会员内部培训资料！ 第42讲：零起点培训如何破解软件和制做注册机(Hackers VIP membership base within the training materials! 42 Lecture: Beginners training how to crack the software and making RI)

论坛首页必备N格，非常经典的插件，本插件来源于网络，仅供学习使用，下载后24小时请删除。(Necessary N-grid forum home page, a very classic plug-in, this plug-in comes from the network, only for learning, 24 hours after downloading please delete.)

说明：  C语言课件，请放心下载使用，绝对的可靠，希望以后可以经常的共享东东(C language courseware, please be assured to download and use, absolutely reliable, hope that in the future can often share the East.)

说明：  智能交通管理系统,交通指示控制系统Delphi实例代码(Intelligent Transportation System Example Delphi Code)

说明：  Jmin for adaptive filter

说明：  好学好用的机器学习经典算法实践供下载学习分享.(Good use of machine learning classic algorithm practice for download learning to share)

说明：  表面肌电信号是肌肉收缩时伴随的电信号，是在体表无创检测肌肉活动的重要方法。由于设备采集到的肌电信号会受到环境噪声等影响，因此在进一步分析之前需要对采集的肌电信号进行去噪处理。 设计一种传统滤波器（如Buttterworth）和现代滤波器（Kalman）对所采集的肌电信号进行处理，并比较各个肌肉的做功比。(Surface emg signal is the concomitant signal of muscle contraction and is an important noninvasive method to detect muscle activity on the body surface. Because the electromyographic signals collected by the equipment will be affected by environmental noise, it is necessary to de-noise the collected electromyographic signals before further analysis. A traditional filter (such as Buttterworth) and a modern filter (Kalman) are designed to process the collected emg signals and compare the work ratio of each muscle.)