ACENPv1

一个关于MATLAB的BP实例源程序。对你了解bp神经网络的编程有着非常大的意思(BP on the MATLAB source code examples. You know bp neural network programming has a very large mean)

说明：  基于UWB通信的BPSK调制误码率分析和经PPM调制的UWB信号经高斯白噪声信道的系统仿真(Error rate Analysis of BPSK Modulation based on UWB Communication and system Simulation of UWB signal modulated by PPM over Gaussian White noise Channel)

RBF神经网络用于分类与回归,有效实现RBF网络(RBF neural network for classification and regression, the effective realization of RBF network)

一个完整的php&MySQL库管理系统源代码

视频会议编码传输，视频编解码与传输的Demo程序,-transmission coding video conferencing, video codecs and transmission Demo procedures,

数据帧的CRC校验和算法-data frames CRC checksum algorithm

考虑智能水下机器人在水下行走，受二维海流的影响程度(An improved self-organizing map-based approach is proposed for multiple autonomous underwater vehicle (multi-AUV) system to complete the allocation of targets and path planning in the paper. Each target is to be visited by one and only one AUV, and a shortest path between a starting point and the destination for each AUV in the presence of the variable current environment is to be found. Firstly, the SOM neuron network is developed to assign a team of AUVs to achieve multiple target locations in 2-D ocean environment. Then, the velocity synthesis approach is applied to plan a shortest path for each AUV to visit the corresponding target in dynamic environment subject to the ocean current being variable. Lastly, to demonstrate the effectiveness of the proposed approach, simulation results are given in this paper.)

NAT(Network Address Translators)，网络地址转换：网络地址转换是在IP地址日益缺乏的情况下产生的，它的主要目的就是为了能够地址重用。NAT分为两大类，基本的NAT和NAPT(Network Address/Port Translator)。(The principle and implementation of UDP NAT through P2P )

我测试过了，数据包多时，效果不好，可以挂协议分析-I ve tested, and data packets for some time, the effect of poor, can be linked to protocol analysis

算法流程：选定训练集和测试集-数据预处理-交叉验证选择最佳参数-分类准确率-预测-利用最佳参数训练SVM(Algorithm flow: selected training set and test set- data preprocessing- cross-validation selection of the best parameters- classification accuracy- prediction- training SVM using the best parameters)