DerokoOEP

一些关于5G非正交多址的一些资料 很有用 参考价值很大(Some information on the number of non-orthogonal multiple access 5G useful reference of great value)

source code about game mobile

二十份精选的简历模板，需要的可以下载看看(Twenty Selected Resume Templates)

说明：  Predicting concentration value using the soft vector machine

说明：  根据回避原则，要求评委不能阅自己学校的试卷，请给出试卷合理的均衡分配方案的数学模型，使各评委阅卷工作量均衡(In accordance with the principle to avoid asking the judges can not read the papers in their own school, please give a balanced and rational distribution of papers in the mathematical model of the program to balance the workload of the judges scoring)

不错的书，大家都来-good book for everyone to Kankan

说明：  针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模 型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫 网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定 位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数 (RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不 同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性. (Mathematical model for the actual object is not clear and difficult to control the problem, the use of artificial immune network model and the discrete learning algorithm, artificial immune systems and neural networks combine the advantages of structure, an artificial immune network based on pattern recognition algorithms, Construction of the object identified by artificial immune network model. the algorithm is a combination of network nodes to adjust the position and parameters as well as the basis function implementation of the smoothing factor, tuning and other functions, to effectively solve the Radial Basis Function (RBF) neural network pattern recognition of two phase of the task, so that the accuracy of pattern recognition have greater improvements. the use of two different object functions of the simulation tests show that the algorithm has fast convergence and higher accuracy.)

特征变量筛选，利用随机组合考虑变量的联合效应(Iteraitvely retains informative variables for selecting optimal)

OpenCV实例精解_普拉蒂克，非常好的学习资料。(OpenCV Example _ Puladike, it is a very good learning materials)

it describes program for particle swarm optimization.