THREE

按键触发coap协议，适用于nb95系列，主控芯片为stm32L4系列(The key trigger COAP protocol is suitable for nb95 series and the main control chip is stm32L4 series.)

列表框运行输入，可以在运行时输入数值，并且在可以自动在前面添加项(The list box runs the input, which can enter numeric values at run time, and automatically add items in front.)

PHP动态流输出下载，比常规下无安全，上传后自动HASH后保存！-Dynamic stream output download, no security than conventional next!

说明：  NFC smart card reader driver example

说明：  CFI控制器顶层模块，32位wishbone总线经典接口，用于简化对CFI flash(如块)的访问解锁、删除和编程。(Top level of CFI controller with 32-bit Wishbone classic interface)

此程序为cad下lisp开发,具有在保持图块不打开的状态下复制其中的对象-procedure for predicting lisp under development, is not maintaining the block open state in which the object replication

说明：  对雷达的线性调频信号进行分析，很基础实用(The LFM signal of radar is analyzed.)

说明：  在matlab用于各种算法粒子群和遗传的测试函数性能比较，画图等等(Performance comparison of particle swarm and genetic test functions used in various algorithms in matlab, drawing, etc.)

说明：  针对MATLAB学习者从最简单的程序到神经网络，包含各方面的程序，内容广泛，适合MATLAB初学者(For the learners of MATLAB, from the simplest program to the neural network, it contains all kinds of programs, and has a wide range of contents. It is suitable for beginners of MATLAB.)

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 (PSO), also called particle swarm optimization (Particle Swarm Optimization), is abbreviated as PSO, which is a new evolutionary algorithm (Evolutionary Algorithm EA) developed in recent years. PSO algorithm is a kind of evolutionary algorithm. It is similar to simulated annealing algorithm. It also starts from the random solution and finds the optimal solution by iteration. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rule. It does not have the crossover (Crossover) and the Mutation operation of genetic algorithm. Search for global optimum. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.)