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Wireshark. The following reference answers are based on the trace files

在平稳瑞利多径信道下，用BPSK调制，用matlab 仿真由最大似然译码的性能。(It discuss a receiver structure called Maximum Likelihood (ML) decoding which gives us a better performance. We will assume that the channel is a flat fading Rayleigh multipath channel and the modulation is BPSK.)

（1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。 （2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。 ((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values ​ ​ of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)

基于顺势无功功率理论的无功电流和谐波电流检测，这里是两个，交流侧电流中的谐波电流是相同的。用来滤除电路中的无功功率。(Based on the theory of homeopathy reactive power reactive current and harmonic current detection (p, q op mode and ip, iq op mode))

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

　用水量预测在城市建设规划、供水系统的调度 管理中都具有重要作用。常用的预测方法可分为两 类,一类是解释性预测方法,即找出被预测量的各影 响因素,建立回归分析模型(Water demand in urban planning, regulation and management of water systems has an important role. Commonly used forecasting methods can be divided into two categories, one is an explanatory forecasting method, which is predicted to identify the amount of the influencing factors, a regression analysis model)

说明：  MATLAB，传输矩阵法，仿真光纤光栅温度特性，主要反映不同温度下反射峰的漂移现象(MATLAB，Fiber Bragg Grating Temperature characteristics)

文件包含了一篇关于神经网络的案例分析实用很有助于学习神经网络的相关知识(File contains an article about neural network, case studies and practical is related to the learning of the neural network knowledge)

commande and control the qudrirotor

说明：  先把图形改为.bmp形式，用matlab编程的(First graphics changed. Bmp format, using matlab programming)