pppoe_code_and_file

对目前非线性滤波的主要算法即扩展卡尔曼滤波、不敏卡尔曼滤波、粒子滤波、扩展卡尔曼粒子滤波和不敏粒子滤波的滤波模型、适用条件、性能进行了分析比较，给出了每种方法的计算复杂度．通过一个非线性非高斯模型进行了仿真，验证了这些算法的性能。(Present the main algorithms of the nonlinear filtering extended Kalman filter, Unscented Kalman filter, particle filter, particle filter and insensitive extended Kalman filter model of particle filter, the suitable conditions, performance is analyzed and compared, given computational complexity of each method. Through a nonlinear non-Gaussian model was simulated to verify the performance of these algorithms.)

clementine电信数据挖掘模板说明，非常珍贵。运用该cats能进行电信行业数据挖掘分析，这个是模板的详细说明，非常罕见。(Telecom Clementine data mining template that is very precious. Cats can use the data mining analysis of the telecommunications industry, this is a detailed description of the template, very rare.)

此源代码实现了下载器的基本功能，模仿简单的快车下载，深入学习java网络以及文件编程有很大的帮助(this program provide you with a deeper study in java)

模糊神经网络实现函数逼近与分类，实现模糊规则的提取。(Fuzzy neural network function approximation and classification, to achieve the extraction of fuzzy rules.)

说明：  简单的PSO算法例程，基于多个测试函数。(PSO algorithm has its advantages to optimize multimodal functions with many local minima by selecting a suitable percentage of rangers. At this situation, the search agent had a fast convergence rate and converged to the global optimal.)

提出一种基于改进粒子群动态搜索算法的网络重构方法，算法把初始粒子群按照适应度的大小分为两个互不交叉，且具有不同分工的子群，并进行动态搜索。通过引入了交叉和禁忌思想，减少了解陷入局部最优的可能性．与遗传、禁忌搜索算法重构的结果进行比较，表明本文算法具有更高的搜索效率，更容易找到全局最优解．(：An improved method based on improved particle swarm optimization dynamic search algodthm networkrcconfiguration is presented in this paper．The initial particle swarm is divided into two different subgroups according to the size of fitness，with a division of labour between the different subgroups of dynamic search．Cross thinking and ideological tabu ale ledinto this algorithm to reduce the possibility of local Optimum．Compared with genetic and tabu search algorithm,the results show that the proposed method possesses a hi．gher search efficiency andis easier tO find the global optimum solutions．)

基于C# MQTTNet开发，Visual Studio 2017打开项目，其他版本不保证好用

u-boot loader common files, like cpu, clock, environment...etc...

选择合适的方法对车牌进行预处理，车牌定位，字符分割； 设计神经网络结构，利用神经网络训练字符，实现字符识别； 设计Matlab或者VC++程序编程实现完整的车牌识别系统。 (recognition of the car bland)

一款用于远程视频监控的开源c++源代码 里面集成有发送端和接收端 非常实用 亲测成功 喜欢的亲可以下载开发 谢谢