ZHUJIANSHIXIAO

利用Matlab6.5神经网络工具箱，以一组动态冲击实验数据为例建立网络模型。实验数据共有13组，将其中对曲线形状有关键性影响的10组数据作为网络的训练数据，另外3组作为测试数据用以验证网络的预测性能。( Use Matlab6.5 Neural Network Toolbox, a dynamic impact test data, for example the establishment of the network model. Experimental data, a total of 13 groups, which have a crucial impact on the shape of the curve of 10 sets of data as the training data of the network, the other three groups as test data to verify the prediction performance of the network. )

用jsp实现的简单网络管理。可对标准网络设备进行标准的网络管理-Jsp achieved with simple network management. Of standard network equipment network management standards

一个很有用的程序，遗传算法无功优化，基于掌纹识别的在线身份验证 识别算法本科毕设。( A very useful program, Genetic algorithm based reactive power optimization, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity.)

KRUSAL算法实现最小生成数的 最小生成数的 最小生成数的()

UDT（UDP-based Data Transfer Protocol，简称UDT）是一种互联网数据传输协议。UDT建于UDP之上，并引入新的拥塞控制和数据可靠性控制机制。UDT是面向连接的双向的应用层协议。它同时支持可靠的数据流传输和部分可靠的数据报传输。 (UDT is a reliable UDP based application level data transport protocol for distributed data intensive applications over wide area high-speed networks. UDT uses UDP to transfer bulk data with its own reliability control and congestion control mechanisms. The new protocol can transfer data at a much higher speed than TCP does. UDT is also a highly configurable framework that can accommodate various congestion control algorithms)

网上搜的关于语音聊天的语音聊天系统，C＋＋版本-found on the Internet Voice Chat voice chat systems, C++ Version

说明：  一个改进的PSO算法，供朋友们分享，这是一个用C++编写的源码，在VC6.0环境下就可以运行(An improved PSO algorithm for friends to share, this is a use of C++ source code written in VC6.0 environment can run on)

说明：  蓝色的阿里云用户后台管理模板html源码( 蓝色的阿里云用户后台管理模板html源码 Blue Ali cloud user background management templates HTML source)

说明：  这是非常好的关于网络编程的例子，实现了ping程序，对于学习网络编程的人员来说是非常难得的材料。(It is a very good example of programming on the network to achieve the ping process, for learning network programming staff is very rare material.)

AForge.NET是一个专门为开发者和研究者基于C#框架设计的，这个框架提供了不同的类库和关于类库的资源，还有很多应用程序例子，包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习，机器人等领域。 这个框架由一系列的类库组成。主要包括有: AForge.Imaging -- 一些日常的图像处理和过滤器 AForge.Vision -- 计算机视觉应用类库 AForge.Neuro -- 神经网络计算库AForge.Genetic -进化算法编程库 AForge.MachineLearning -- 机器学习类库 AForge.Robotics -- 提供一些机器学习的工具类库 AForge.Video -- 一系列的视频处理类库 AForge.Fuzzy -- 模糊推理系统类库 AForge.Controls-- 图像，三维，图表显示控件(AForge.NET is a specialized for developers and researchers based on the C# framework, this framework provides a different library and on the library resources, there are a lot of application examples, including computer vision and artificial intelligence, image processing, neural network, genetic algorithm, machine learning, robotics and other fields. The framework consists of a series of class libraries. Mainly include: AForge.Imaging -- some daily image processing and filters AForge.Vision -- computer vision application class library AForge.Neuro -- Neural Network Computing Library -- AForge.Genetic -- evolutionary algorithm library AForge.MachineLearning - machine learning class library AForge.Robotics - provides some library tools for machine learning AForge.Video - a series of video processing libraries AForge.Fuzzy -- fuzzy inference system class library AForge.Controls-- images, three-dimensional, chart display controls)