搜索资源列表
Home_Networking_Basis
- 《Home Networking Basis》(《家庭网络基础》)的配套MATLAB源代码。包括了以太网和无线以太网等模型。-"Home Networking Basics" ( "family network infrastructure") supporting MA MATLAB source code. Including Ethernet and wireless Ethernet, and other models.
网络游戏线程池模型
- <VC++网络游戏建摸与实现>源代码-lt; VC network games modeling and implementation gt; Source code
DelaunaySourceCodeJava14
- Voronoi图生成算法 ,Voronoi(沃洛诺依)多边形网络常常被用来做为计算机仿真模型.由于按照定义形成Voronoi多边形网络较难用程序实现,人们多采用Delauney(狄洛尼)三角形的方法完成模型的构建.大家可以交流
pyxc
- 各种类型的神经网络模型Matlab源程序
OA
- 本系统包含250多个JavaBean类,整个系统全面实现MVC(模型 视图 控制)三层架构, 大量的应用到了类的反射机制涉及网络编程行业最高精尖技术STRUTS+HIBERNATER,最有说 服力的证实了多层建构框架模式的绝优越性。数据和逻辑处理由STRUTS的模型层Model进行处理, 页面调转由STRUTS的控制层Controller实现,页面负责显示请求和响应,大大增强了“人机”的 互动性,这一层在STRUTS的视图层View用STRUTS标签+HTML等实现,同时使用va
WindowsSockets
- 里面包含TCP/UDP源码与程序,各种阻塞和非阻塞IO模型的通讯源码,对想学习网络编程的朋友们可以下载下来看看!-Which contains the TCP/UDP source and program, a variety of blocking and non-blocking IO model communication source, and friends who want to learn network programming can download to see!
RBF
- 本文采用RBF神经网络控制对双杆机器人进行参数辨识得到其控制模型后,采用PD控制机器人。-In this paper, the RBF neural network to identify the parameters to get the control model of the double-pole robot control, PD control the robot.
Maltab-modeling-
- Maltab 源码\在数学建模中的应用、人口预测模型、灰色预测及其MATLAB实现、遗传算法、粒子群算法、模拟退火算法、人工神经网络、小波分析、动态仿真-matlab mathematic modeling
poj-netflow
- poj上网络流的几道题(1149,1689,2112,2391,2455,3436),关键是抽象出网络流的模型,这样才能想出怎么运用他。-poj the network flow a few questions (1149,1689,2112,2391,2455,3436), the key is to abstract the network flow model, in order to figure out how to use him.
NS
- 用NS2仿真建立一个有线网络模型模拟,节点的建立,拓扑结构的设置以及参数的设定-A cable network set up by using the NS2 simulation model, the establishment of node topology Settings and parameters setting
fcmac
- 二关节机械手的模糊小脑模型(CMAC)神经网络控制器MATLAB代码,网上少有。代码是纸质版转化的,苦劳啊。-Fuzzy cmac neural network controller matlab code for 2-link robotic manipulator.
GNPAttachFour
- 带选择概率p的非线性优先连接规则的复杂网络生成模型。-With choice probability p of the nonlinear preferential attachment rule generation model of complex network.
RBF-network-return
- RBF网络回归源代码,利用RBF神经网络算法构建模型-RBF network source code regression, RBF neural network algorithm to build the model
r-languge
- 本书通过案例讲述时间序列分析有关的概念和方法, 不仅介绍了ARMA模型、状态空间模型、Kalman滤波、单位根检验和GRACH模型等一元时间序列方法, 还介绍了很多最新的多元时间序列方法, 如线性协整、门限协整、VAR模型、Granger因果检验、神经网络模型、可加AR模型和谱估计等. 书中强调对真实的时间序列数据进行分析, 全程使用R软件分析了各个科学领域的实际数据, 还分析了金融和经济数据的例子. 本书例题用到的实际数据都可以从网上下载.-Book time series analysis
IOT_Simulation
- 陈敏老师的{OPNET物联网仿真}书中的代码,主要包括了GPSR,定向扩散,协作通信,多路等多个OPNET仿真模型。适合于利用OPNET软件仿真传感器网络的研究人员。-Chen Min teacher {OPNET of things simulation} book code, including GPSR, directional diffusion, cooperative communication, multiple OPNET and other simulation models.
df364
- 包括最小二乘法、SVM、神经网络、1_k近邻法,本科毕设要求参见标准测试模型,给出接收信号眼图及系统仿真误码率。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Undergraduate complete set requirements refer to the standard test models, The received signal is given eye
hpkfq
- 使用起来非常方便,比较了软阈值,硬阈值及当今各种阈值计算方法,采用加权网络中节点强度和权重都是幂率分布的模型。- Very convenient to use, Comparison of soft threshold and hard threshold and today various threshold calculation method, Using weighted model nodes in the network strength and weight are power l
bui_pf16
- 阐述了负荷预测的应用研究,有循环检测,周期性检测,采用加权网络中节点强度和权重都是幂率分布的模型。- It describes the application of load forecasting, There are cycle detection, periodic testing, Using weighted model nodes in the network strength and weight are power law distribution.
chapter three
- 第三章:机器人神经网络自适应控制 基于模型不确定补偿 基于模块逼近(Chapter 3: adaptive control of robot neural network Model uncertainty compensation Module approximation)
mohu
- 模糊神经网络的预测代码,可用于电力负荷预测或者评价模型(The prediction code of fuzzy neural network can be applied to power load forecasting or evaluation model.)